Document Type : Original Research Paper


1 Faculty member of IAUCTB

2 Computer Engineering Department, Central Tehran Branch, Islamic Azad University, Tehran, Iran


Internet of Things (IoT) is a novel and emerging paradigm to connect real/physical and virtual/logical world together. So, it will be necessary to apply other related scientific concepts in order to achieve this goal. The main focus of this paper is to identify the research topics in IoT. For this purpose, a comprehensive study has been conducted on the vast range of research articles. IoT concepts and issues are classified into some research domains and sub-domains based on the analysis of reviewed papers that have been published in 2015 & 2016. Then, these domains and sub-domains have been discussed as well as it is reported their statistical results. The obtained results of analysis show the most of the IoT research works are concentrated on technology and software services domains similarly at first rank, communication at second rank and trust management at third rank with 19%, 14% and 13% respectively. Also, a more accurate analysis indicates the most important and challenging sub-domains of mentioned domains which are: WSN, cloud computing, smart applications, M2M communication and security. Accordingly, this study will offer a useful and applicable broad viewpoint for researchers. In fact, our study indicates the current trends of IoT area.


Main Subjects

[1] Airehrour, D., Gutierrez, J. and Ray, S.K., 2016. Secure routing for internet of things: A survey. Journal of Network and Computer Applications, 66, pp. 198-213.   
[2] Rajandekar, A. and Sikdar, B., 2015. A Survey of MAC Layer Issues and Protocols for Machine-to-Machine Communications. IEEE Internet of Things Journal, 2(2), pp. 175-186.   
[3] Perera, C., Liu, C.H. and Jayawardena, S., 2015. The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey. IEEE Transactions on Emerging Topics in Computing, 3(4), pp. 585-598.   
[4] Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J. and Leung, K., 2013. A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities, IEEE Wireless Communications, 20(6), pp. 91-98.    
[5] Di Marco, P., Athanasiou, G., Mekikis, P.-V. and Fischione, C., 2016. MAC-aware routing metrics for the internet of things. Computer Communications, 74, pp. 77-86.      
[6] Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M. and Ayyash, M., 2015. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 17(4), pp. 2347-2376.      
[7] Bandyopadhyay, S., Sengupta, M., Maiti, S. and Dutta, S., 2011. Role of middleware for internet of things: A study, International Journal of Computer Science and Engineering Survey (IJCSES), 2(3), pp. 94-105.    
[8] Fasolo, E., Rossi, M., Widmer, J. and Zorzi, M., 2007. In-network aggregation techniques for wireless sensor networks: a survey. IEEE wireless communication, 14(2), pp. 70-87.  
[9] Jin, Y., Gormus, S., Kulkarni, P. and Sooriyabandara, M., 2016. Content centric routing in IoT networks and its integration in RPL. Computer Communications, 89-90, pp. 87-104.    
[10] Kamalinejad, P., Mahapatra, C., Sheng, Z., Mirabbasi, S., Leung, V.C.M. and Guan, Y.L., 2015. Wireless Energy Harvesting for the Internet of Things. IEEE Communications Magazine, 53(6), pp. 102-108.    
[11] Yan, Z., Zhang, P. and Vasilakos, A.V., 2014. A survey on trust management for Internet of Things. Journal of Network and Computer Applications, 42, pp. 120-134.   
[12] Anzelmo, E., Bassi, A., Caprio, D. and et al., 2011, October. Discussion Paper on the Internet of Things. In 1st Berlin Symposium on Internet and Society: Exploring the Digital Future.
[13] Atzori, L., Iera, A. and Morabito, G., 2010. The Internet of Things: A survey. Computer Networks, 54(15), pp. 2787-2805.  
[14] Gubbi, J., Buyya, R., Marusic, S. and Palaniswami, M., 2013. Internet of Things (IoT): a vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), pp. 1645-1660.  
[15] Razzaque, M.A., Milojevic-Jevric, M., Palade, A. and Clarke, S., 2016. Middleware for Internet of Things: A Survey. IEEE Internet of Things Journal, 3(1), pp. 70-95.   
[16] Domingo, M.C., 2012. An overview of the Internet of Things for people with disabilities. Journal of Network and Computer Applications, 35( 2), pp. 584-596.   
[17] Jia, X., Feng, Q., Fan, T. and Lei, Q., 2012, May. RFID technology and its applications in Internet of Things (IoT). In Consumer Electronics, Communications and Networks, 2012, (CECNet). 2nd International Conference on (pp. 1282-1285). IEEE.   
[18] Liu, C.H., Yang, B. and Liu, T., 2014. Efficient naming, addressing and profile services in Internet-of-Things sensory environments. Ad Hoc Networks, 18, pp. 85-101.  
[19] Holler, J., Tsiatsis, V., Mulligan, C. and et al., 2014. From Machine-to-Machine to the Internet of Things : Introduction to a new Age of Intelligence. AP Publisher: Academic Press is an imprint of Elsevier.
[20] Distefano, S., Merlino, G. and Puliafito, A., 2015. A utility paradigm for IoT: The sensing Cloud. Pervasive and Mobile Computing, 20,  pp. 127-144.   
[21] Li, S., Xu, L.D. and Zhao, S., 2015. The internet of things: a survey. Information Systems Frontiers, 17( 2), pp. 243-259.   
[22] Buyya, R. and Dastjerdi, A.V., 2016. Internet of Things, Principles and Paradigm. 1st Edition, Elsevier Press.  
[23] Jianguo, X., Gang, X. and Mengmeng, Y., 2013, June. Monitoring system design and implementation based on the Internet of Things. In Digital Manufacturing and Automation (ICDMA). 2013. Fourth International Conference on (pp.801-804). IEEE.  
[24] Kanagasundaram, R., Majumdar, S., Zaman, M., Srivastava, P. and Goel, N., 2012, July. Exposing resources as Web services: a performance oriented approach. In symposium of performance evaluation of computer and telecommunication systems (SPECTS), 2012. International symposium on. IEEE.  
[25] Rong, Y., Li, B. and HU, Y., 2016. An Experimental Study for Intelligent Logistics: A Middleware Approach. Chinese Journal of Electronics, 25(3), pp. 561-569.   
[26] Antoni, A., Marjanovi, M., Pripuzic, K. and Zarko, I.P., 2016. A mobile crowd sensing ecosystem enabled by CUPUS-Cloud-based publish-subscribe middleware for the Internet of Things. Future Generation Computer Systems, 56, pp. 607-622.      
[27] Balakrishnan, S.M. and Sangaiah, A.K., 2017. MIFIM-Middleware solution for service centric anomaly in future internet models. Future Generation Computer Systems, 74, pp. 349-365.   
[28] Jiang, H., Zhao, S., Zhang, Y. and Chen, Y., 2012. The cooperative effect between technology standardization and industrial technology innovation based on Newtonian mechanics. Information Technology and Management, 13(4), pp. 251-262.     
[29] Teklemariam, G.K., Hoebeke, J., Moerman, I. and Demeester, P., 2013. Facilitating the creation of IoT applications through conditional observations in CoAP. EURASIP Journal on Wireless Communications and Networking.
[30] Castellani, A.P., Bui, N., Casari, P. and et al., 2010. Architecture and protocols for the internet of things: a case study. In pervasive computing and communications workshops (PERCOM workshops). Eighth international conference on (pp. 678-683), IEEE.  
[31] Lee, I-G. and Kim, M., 2016. Interference-aware self-optimizing Wi-Fi for high efficiency internet of things in dense networks. Computer Communications, 89-90, pp. 60-74.
[32] Collotta, M. and Pau, G., 2015. Bluetooth for Internet of Things: A fuzzy approach to improve power management in smart homes. Computers and Electrical Engineering, 44, pp. 137-152.
[33] Buratti, C., Stajkic, A., Gardasevic, G. & et al. (2015). Testing Protocols for the Internet of Things on the EuWIn Platform. IEEE Internet of Things Journal.
[34] Akgün, M. and Çaglayan, M.U., 2015. Providing destructive privacy and scalability in RFID systems using PUFs. Ad Hoc Networks, 32, pp. 32-42.
[35] He, D., Kumar, N. and Lee, J-H., 2015. Secure pseudonym-based near field communication protocol for the consumer internet of things. IEEE Transactions on Consumer Electronics, 61(1), pp. 56-62.
[36] Ghaleb, S.M., Subramaniam, S. , Zukarnain, Z.A. and Muhammed, A., 2016. Mobility management for IoT: a survey. EURASIP Journal on Wireless Communications and Networking.
[37] Sheng, Z., Wang, H., Yin, C., Hu, X., Yang, S. and Leung, V.C.M., 2015. Lightweight Management of Resource-Constrained Sensor Devices in Internet of Things. IEEE Internet of Things Journal, 2(5), pp. 402-411.
[38] Betzler, A., Gomez, C., Demirkol, I. and Paradells, J., 2015. CoCoA+: An advanced congestion control mechanism for CoAP. Ad Hoc Networks, 33, pp. 126-139.  
[39] Rimal, B.P., Choi, E. and Lumb, I., 2009, August. A taxonomy and survey of cloud computing systems. In INC, IMS and IDC, 2009. NCM'09. Fifth International Joint Conference on (pp. 44-51). IEEE.
[40] Mehmood, Y., Görg, C., Muehleisen, M. and Timm-Giel, A., 2015. Mobile M2M communication architectures, upcoming challenges, applications, and future directions. EURASIP Journal on Wireless Communications and Networking.   
[41] Kovatsch, M., Lanter, M. and Shelby, Z., 2014. Californium: scalable cloud services for the internet of things with CoAP. In the Internet of Things (IoT 2014). fourth international conference on.  
[42] Amadeo, M., Briante, O., Campolo, C., Molinaro, A. and Ruggeri, G., 2016. Information-centric networking for M2M communications:  Design and deployment. Computer Communications, 89-90, pp. 105 –116.    
[43] Aijaz, A. and Aghvami, H., 2015. Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective. IEEE Internet of Things Journal, 2(2), pp. 103-112.
[44] Bouaziz, M., and Rachedi, A., 2015. A survey on mobility management protocols in Wireless Sensor Networks based on 6LoWPAN technology. Computer Communications, 74, pp. 3-15.
[45] Misic, J., Shafi, S. and Misic, V.B., 2006. Performance limitations of the MAC layer in 802.15.4 low rate WPAN. Computer Communications, 29(13-14), pp. 2534–2541.     
[46] Park, P., Marco, P.D., Fischione, C. and Johansson, K.H., 2013. Modeling and Optimization of the IEEE 802.15.4 Protocol for Reliable and Timely Communications. IEEE Transactions on Parallel and Distributed Systems, 24(3), pp. 550-564.    
[47] Ergen, S.C., Marco, P.D. and Fischione, C., 2009, December. MAC Protocol engine for sensor networks. In Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE.
[48] Hakak, S., Latif, S.A., Gilkar, G. and Alam, M.K., 2014, May. Performance analysis of DYMO and DSR protocols under variation of DSSS rate. In Informatics, Electronics & Vision (ICIEV), 2014. 3rd International Conference on. IEEE.
[49] Karlsson, J., Dooley, L.S. and Pulkkis, G., 2012. Routing security in mobile ad-hoc networks. Issues in Informing Science and Information Technology, 9, pp. 369-383.    
[50] Qiu, T., Lv, Y., Xia, F. and et al., 2016. ERGID: An efficient routing protocol for emergency response Internet of Things. Journal of Network and Computer Applications, 72, pp. 104-112.   
[51] Sicari, S., Rizzardi, A., Grieco, L.A., and Coen-Porisini, A., 2015. Security, privacy and trust in Internet of Things: The road ahead. Computer Network, 76, pp. 146-164.     
[52] Turkanovic, M., Brumen, B. and Hölbl, M., 2014. A novel user authentication and key agreement scheme for heterogeneous ad hoc wireless sensor networks, based on the Internet of Things notion. Ad Hoc Networks, 20, pp. 96-112.   
[53] Farash, M.S., Turkanović, M., Kumari, S. and Hölbl, M., 2015. An efficient user authentication and key agreement scheme for heterogeneous wireless sensor network tailored for the Internet of Things environment. Ad Hoc Networks, 36, pp. 152-176.      
[54] Amin, R., Islam, SK. H., Biswas, G.P. and et al., 2016. Design of anonymity preserving three-factor authenticated key exchange protocol for wireless sensor network. Computer Networks, 101, pp. 42-62.  
[55] Li, J., Wen, M. and Zhang, T., 2016. Group-based authentication and key agreement with dynamic policy updating for MTC in LTE-A Networks. IEEE Internet of Things Journal, 3(3), pp. 408-417.   
[56] Li, F., Han, Y. and Jin, C., 2016. Practical access control for sensor networks in the context of the Internet of Things. Computer Communications, 89-90, pp. 154-164.
[57] Lee, J., Seo, J.W., Ko, H. and Kim, H., 2017. TARD: Temporary Access Rights Delegation for guest network devices. Journal of Computer and System Sciences, 86, pp. 59-69.    
[58] Rizzardi, A., Sicari, S., Miorandi, D. and Coen-Porisini, A., 2016. AUPS: An Open Source AUthenticated Publish/Subscribe system for the Internet of Things. Information Systems, 62, pp. 29-41.     
[59] Chatzigiannakis, I., Vitaletti, A. and Pyrgelis, A., 2016. A privacy-preserving smart parking system using an IoT elliptic curve based security platform. Computer Communications, 89-90, pp.165-177.   
[60] Avoine, G., Bingol, M., Carpent, X. and Yalcin, S., 2013. Privacy-friendly authentication in RFID systems: on sublinear protocols based on symmetric-key cryptography. IEEE Transactions on Mobile Computing, 12(10), pp. 2037–2049.   
[61] Jacobsson, A., Boldt, M. and Carlsson, B., 2016. A risk analysis of a smart home automation system. Future Generation Computer Systems, 56, pp. 719-733.  
[62] Liu, A., Zhang, Q., Li, Z. and et al., 2017. A green and reliable communication modeling for industrial internet of things. Computers and Electrical Engineering, 58, pp. 364-381.  
[63] Ahmad, M. and Jose, S., 2015, May. Designing for the Internet of Things: A Paradigm Shift in Reliability. In Electronic Components and Technology Conference (ECTC), 2015. 65th International Conference on (pp. 1758-1766). IEEE.
[64] Park, J.H., 2016. All-terminal reliability analysis of wireless networks of redundant radio modules. IEEE Internet of Things Journal, 3(2), pp. 219-230.   
[65] Nessa, A. and Kadoch, M., 2016, Joint Network Channel Fountain Schemes for Machine Type Communications over LTE-Advanced. IEEE Internet of Things Journal, 3(3), pp. 418- 427.    
[66] Dimitriou, T., 2016. Key Evolving RFID Systems: Forward/Backward Privacy and Ownership Transfer of RFID tags. Ad Hoc Networks, 37(2), pp. 195–208.
[67] Rawat, P., Singh, K.D., Chaouchi, H. and Bonnin, J.M., 2014. Wireless sensor networks: a survey on recent developments and potential synergies. The Journal of Supercomputing, 68(1), pp. 1-48.    
[68] Lee, B. and Kim, S-J., 2015. Energy-efficient sensor device personalization scheme for the internet of things and wireless sensor networks. IEICE Transactions on Communications Journal, E98.B(1), pp. 231-241.   
[69] Sheng, Z., Mahapatra, C., Zhu., C. and Leung, V.C.M., 2015. Recent advances in industrial wireless sensor networks toward efficient management in IoT. IEEE Access Journal, 3, pp. 622-637.     
[70] Porambage, P., Braeken, A. and Schmitt, C., 2015. Group key establishment for enabling secure multicast communication in wireless sensor networks deployed for IoT applications. IEEE Access Journal, 3, pp. 1503-1511.    
[71] Díaz, M., Martín, C. and Rubio, B., 2016. State-of-the-art, challenges, and open issues in the integration of Internet of Things and Cloud Computing. Journal of Network and Computer Applications, 67, pp. 99-117.      
[72] Xu, Y. and Hela, S., 2016. Scalable Cloud-Sensor Architecture for the Internet of Things. IEEE Internet of Things Journal, l3(63), pp. 285 - 298.   
[73] Chen, C., Bose, R. and Helal, A., 2009. Atlas: An Open Model for Automatic Integration and Teleprogramming of Smart Objects. In Design and Integration Principles for Smart Objects, 2009. DIPSO’09. 3rd International Workshop on.        
[74] Luo, S. and Ren, B., 2016. The Monitoring and Managing Application of Cloud Computing Based on Internet of Things. Computer Methods and Programs in Biomedicine, 130(C), pp. 154-161.  
[75] Škraba, A., Stojanovic, R., Zupan, A., Koložvari, A. and Kofjač, D., 2015. Speech-controlled cloud-based wheelchair platform for disabled persons. Microprocessors and Microsystems, 39(8), pp. 819-828.   
[76] Persson, P. and Angelsmark, O., 2015. Calvin – Merging Cloud and IoT. Procedia Computer Science, 52, pp. 210-217.
[77] Tanenbaum, A.S, 1994. Distributed operating systems, first edition, Pearson.   
[78] Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D. and Ohlman, B., 2012. A survey of information-centric networking. IEEE Communications Magazine, 50(7),  pp. 26-36.      
[79] Baccelli, E., Mehlis, C., Hahm, O. and Schmidt, T.C., 2014. Information Centric Networking in the IoT: Experiments with NDN in the Wild. In Information-Centric Networking, 2014. ACM-ICN '14. 1st Conference on. (pp. 77-86). ACM.
[80] Xylomenos, G., Ververidis, C.N., Siris, V.A., and et al., 2014. A survey of information-centric networking research. IEEE Communications Surveys & Tutorials, 16(2), pp. 1024-1049.        
[81] Jin, Y., Kulkarni, P., Gormus, S. and Sooriyabandara, M., 2012, October. Content centric and load balancing aware dynamic data aggregation in multi-hop wireless networks. In Wireless and Mobile Computing, Networking and Communications (WiMob), 2012. 8th International Conference on (pp. 179-186). IEEE.
[82] Kim, H., Benson, T., Akella, A. and Feamster, N., 2011, November. The evolution of network configuration: a tale of two campuses. In Internet measurement conference, 2011. IMC'11. SIGCOMM conference on (pp. 499-514). ACM.
[83], last accessed on September 2016.
[84] Xia, W., Wen, Y., Foh, C.H., Niyato, D. and Xie, H., 2015. A Survey on Software-Defined Networking. IEEE Communications Surveys & Tutorials, 17(1), pp. 27-51.    
[85] last accessed on September 2016.
[86] Jararweh, Y., Al-Ayyoub, M., Darabseh, A. and Rindos, A., 2015. SDIoT: a software defined based internet of things framework. Journal of Ambient Intelligence and Humanized Computing, 1(4), pp. 453-461.    
[87] Hakiri, A., Berthou, P. and Gokhale, A., 2015. Publish/subscribe-enabled software defined networking for efficient and scalable IoT communications. IEEE Communications Magazine, 53(9).     
[88] Liu, J., Li, Y. and Chen, M., 2015. Software-defined internet of things for smart urban sensing. IEEE Communications Magazine, 53(9).    
[89] Aazam, M. and Huh, E.N., 2014, August. Fog Computing and Smart Gateway Based Communication for Cloud of Things. In Future Internet of Things and Cloud (FiCloud), 2014. International Conference on (pp. 464-470). IEEE.
[90] Sehgal, V.K., Patrick, A., Soni, A. and Rajput, L., 2015. Smart human security framework using internet of things, Cloud and fog computing. Part of the Advances in Intelligent Systems and Computing book series, Springer Publisher.   
[91] Zhou, Z., Zhao, D., Xu, X., Du, C. and Sun, H., 2015. Periodic Query Optimization Leveraging Popularity-Based Caching in Wireless Sensor Networks for Industrial IoT Applications. Mobile Networks and Applications Journal, 20(2), pp. 124-136.   
[92] Zhai, C., Zou, Z., Chen, Q. and et al., 2016. Delay-Aware and Reliability-Aware Contention-Free MF-TDMA Protocol for automated RFID monitoring in industrial IoT. Journal of Industrial Information Integration, 3, pp. 8-19.    
[93] Catarinucci, L., Donno, D.D., Mainetti, L. and et al., 2015. An IoT-Aware Architecture for Smart Healthcare Systems. IEEE Internet of Things Journal, 2(6), pp. 515 - 526.   
[94] Suarez, J., Quevedo, J., Vidal, I. and et al., 2016. A secure IoT management architecture based on Information-Centric Networking. Journal of  Network and Computer Applications, 63, pp. 190-204.    
[95] Quevedo, J., Antunes, M., Corujo, D., Gomes, D. and Aguiar, R.L., 2016. On the application of contextual IoT service discovery in Information Centric Networks. Computer Communications, 89-90, pp.117 –127.     
[96] Gu, Z. and Zhao, Q., 2012. A state-of-the-art survey on real-time issues in embedded systems virtualization. Journal of Software Engineering and Applications, 5, pp. 277-290.    
[97] Morabito, R., 2017. Virtualization on Internet of Things Edge Devices With Container Technologies: A Performance Evaluation. IEEE Access. 5, pp. 8835 – 8850.
[98] Ali, Z.H., Ali, H.A. and Badawy, M.M., 2017. A New Proposed the Internet of Things (IoT) Virtualization Framework Based on Sensor-as-a-Service Concept. Wireless Personal Communications, 97(1), pp. 1419-1443.
[99] Liu, W., Nishio, T., Shinkuma, R. and Takahashi, T., 2014. Adaptive resource discovery in mobile cloud computing.  Computer Communications, 50, pp. 119-129.
[100] Djamaa, B., Yachir, A. and Richardson, M., 2017. Hybrid CoAP-based resource discovery for the Internet of Things. Journal of  Ambient Intell Human Comput, 8(3), pp. 357-372.     
[101] Nishio, T., Shinkuma, R., Takahashi, T. and Mandayam, N.B., 2013, July. Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud. In Mobile cloud computing & networking, 2013. MobileCloud '13. first international workshop on (pp. 19-26), ACM.
[102] Maia, A.M., Vieira, D., de Castro, M.F. and Ghamri-Doudane, Y., 2016. A fair QoS-aware dynamic LTE scheduler for machine-to-machine communication. Computer Communications, 89-90, pp. 75-86.  
[103] Kim, T-Y. and Kim, E-J., 2016. Uplink scheduling of MU-MIMO gateway for massive data acquisition in Internet of things. The Journal of Supercomputing, pp. 1-15.
[104] Narman, H.S., Hossain, M.S., Atiquzzaman, M. and Shen, H., 2017. Scheduling internet of things applications in cloud computing. Annals of Telecommunications, 72(1-2), pp. 79-93.
[105] Abdullah, S. and Yang, K., 2014. An Energy Efficient Message Scheduling Algorithm Considering Node Failure in IoT Environment. Wireless Personal Communications, 79(3), pp. 1815-1835.   
[106] Chun, B-G., Ihm, S., Maniatis, P., Niak, M. and Patti, A., 2011, April. Clonecloud: elastic execution between mobile device and cloud. In Computer systems, 2011. EuroSys'11. sixth conference on (pp. 301-314). ACM.
[107] Kosta, S., Aucinas, A., Hui, P., Mortier, R. and Zhang, X., 2012, March. Thinkair: dynamic resource allocation and parallel execution in the cloud for mobile code offloading. In INFOCOM, 2012. (pp. 945-953). IEEE.
[108] Gordon, M.S., Jamshidi, D.A., Mahlke, S. and Mao, Z.M., 2012, October. COMET: code offload by migrating execution transparently. In Operating Systems Design and Implementation, 2012. OSDI'12. 10th USENIX conference on (pp. 93-106), ACM.
[109] Kim, S., 2015. Nested game-based computation offloading scheme for Mobile Cloud IoT systems. EURASIP Journal on Wireless Communications and Networking, pp. 229-239.
[110] Flores, H., Hui, P., Tarkoma, S. and et al., 2015. Mobile Code Offloading: From Concept to Practice and Beyond. IEEE Communications Magazine, 53(3), pp. 80-88.  
[111] Park, Y. and Kim, S., 2015. Game-based data offloading scheme forIoT system traffic congestion problems. EURASIP Journal on Wireless Communications and Networking, pp. 192-201.
[112] Li, L., Li. S. and Zhao, S., 2014. QoS-Aware Scheduling of Services-Oriented Internet of Things. IEEE Transactions on Industrial Informatics, 10(2).    
[113] Pradilla, J., Palau, C. and Esteve, M., 2015. SOSLite: Lightweight Sensor Observation Service (SOS). IEEE Latin America Transactions, 13(12), pp. 3758-3764.     
[114] Yerra, R., Kiran , M.P.R.S. and Pachamuthu, R., 2015. Reliability and delay analysis of slotted anycast multi-hop wireless networks targeting dense traffic iot applications. IEEE Communications Letters Journal, 19(5), pp. 727-730.        
[115] Poslad, S., 2015. A Semantic IoT Early Warning System for Natural Environment Crisis Management. IEEE Transactions on Emerging Topics in Computing, 3(2), pp. 246-257.  
[116] Fang, S., Xu, L., Zhu, Y. and et al., 2015. An integrated information system for snowmelt flood early-warning based on internet of things. Information Systems Frontiers, 17(2), pp. 321-335.             
[117] Mayer, R., Koldehofe, B. and Rothemel, K., 2015. Predictable Low-Latency Event Detection With Parallel Complex Event Processing. IEEE Internet of Things Journal, 2(4), pp. 274-286.        
[118] Yang, P., 2015. PRLS-INVES: A General Experimental Investigation Strategy for High Accuracy and Precision in Passive RFID Location Systems. IEEE Internet of Things Journal, 2(2), pp. 159-167.   
[119] Vermesan, O. and Friees, P., 2014. Internet of Things - From Research and Innovation to Market Deployment. River Publisher.     
[120] Smith, I.G., Vermesan, O., Friees, P. and Furness, A., 2012. The Internet of Things 2012 New Horizons. Halifax Publisher, UK.     
[121] Zhou, L., Sheng, Z., Wei, L. and et al., 2016. Green cell planning and deployment for small cell networks in smart cities. Ad Hoc Network, 43, pp. 30-42.     
[122] Lolis, L., Bernir, C., Pelissier, M., Dallet, D. and Begueret, J.B., 2010, June. Bandpass Sampling RX System Design Issues and Architecture Comparison for Low Power RF Standards. In Circuits and Systems (ISCAS), 2010. International Symposium on (pp. 3921-3924). IEEE.
[123] Hayashi, Y., Yahagi, K., Sato, H., Sato, K. and Muratani, M., 2015, August. "Easy-to-use" RF-solutions for IoT applications. In Radio-Frequency Integration Technology (RFIT), 2015. International Symposium on (pp. 13-15). IEEE.
[124] Bousseaud, P., Novakov, E. and Fournier, J.M., 2015, October. A direct RF signal sampling integrated receiver for IoT applications. In Advanced Technologies for Communications (ATC), 2015. International Conference on (pp. 237-242). IEEE.
[125] Liu, Y., Ren, K.L., Hofmann, H.F. and Zhang, Q., 2005. Investigation of electrostrictive polymers for energy harvesting. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 52(12), pp. 2411-2417.     
[126] Cengiz, K. and Dag, T., 2015. A review on the recent energy-efficient approaches for the Internet protocol stack.  EURASIP Journal on Wireless Communications and Networking, pp. 108-129.
[127] Gorlatova, M., Sarik, J., Grebla, G. and et al., 2015. Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things. IEEE Journal on Selected Areas in Communications, 33(8), pp. 1624-1639.    
[128] Wang, Y., Liu, Y., Wang, C. and et al., 2016. Storage-less and Converter-less Photovoltaic Energy Harvesting with Maximum Power Point Tracking for Internet of Things. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35(2), pp. 173-186.       
[129] Kim, S. and Kim, S., 2016. A multi-criteria approach toward discovering killer IoT application in Korea. Technological Forecasting & Social Change, 102, pp. 143–155.   
[130] Islam, S.M.R., Kwak, D., Kabir, M.H., Hossain, M. and Kwak, K-S., 2015. The Internet of Things for Health Care: A Comprehensive Survey. IEEE Access, 3, pp. 678-708.     
[131] Luo, X., Liua, J., Zhanga, D. and Chang, X., 2016. A large-scale web QoS prediction scheme for the Industrial Internet of Things based on a kernel machine learning algorithm. Computer Networks, 101, pp. 81-89.    
[132] Rathore, M.M., Ahmad, A., Paul, A. and Rho, S., 2016. Urban planning and building smart cities based on the Internet of Things using Big Data analytics. Computer Networks, 101, pp. 63-80.   
[133] Gigli, M. and Koo, S., 2011. Internet of Things: Services and applications categorization. Advances in Internet of Things (AIT), 1(2), pp. 27–31.    
[134] Xiaojiang, X., Jianli, W. and Mingdong, L., 2010. Services and key technologies of the Internet of Things. ZTE Communication, 8(2), pp. 26-29.    
[135] Ruckebusch, P., Poorter, E.D., Fortuna, C. and Moerman, I., 2016). GITAR: Generic extension for Internet-of-Things ARchitectures enabling dynamic updates of network and application modules. Ad Hoc Networks, 36(1), pp. 127-151.     
[136] Barbon, G., Margolis, M., Palumbo, F., Raimond, F. and Weldin, N., 2016. Taking Arduino to the Internet of Things: The ASIP programming model. Computer Communications, 89-90, pp. 128-140.   
[137] Nastic, S., Truong, H-L. and Dustdar, S., 2015. SDG-Pro: a programming framework for software-defined IoT cloud gateways. Journal of Internet Services and Applications, 6, pp. 21-37.  
[138] Silva, J.A., Faria, E.R., Barros, R.C. and et al., 2013. Data stream clustering: A survey. ACM Computing Surveys, 46(1).
[139] Qin, Y., Sheng, Q.Z., Falkner, N.J.G. and et al., 2016. When things matter: A survey on data-centric internet of things. Journal of Network and Computer Applications, 64, pp. 137-153.   
[140] Liu, J., Fang, C. and Ansari, N., 2016. Request Dependency Graph: A Model for Web Usage Mining in Large-scale Web of Things. IEEE Internet of Things Journal, 3(4), pp. 598 - 608.       
[141] Poghosyan, G., Pefkianakis, I., Le Guyadec, P. and Christophides, V., 2016. Mining usage patterns in residential intranet of things. Procedia Computer Science, 83, pp. 988-993.     
[142] Zhu, T., Dhelim, S., Zhou, Z., Yang, S. and Ning, H., 2017. An architecture for aggregating information from distributed data nodes for industrial internet of things. Computers and Electrical Engineering, 58, pp. 337-349.   
[143] Mehdiyev, N., Krumeich, J., Enke, D., Werth, D. and Loos, P., 2015. Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques. Procedia Computer Science, 61, pp. 395-401.
[144] Mostefaoui, A., Noura, H. and Fawaz, Z., 2015. An integrated multimedia data reduction and content confidentiality approach for limited networked devices. Ad Hoc Networks, 32, pp. 81-97.
[145] Serdaroglu, K.C. and Baydere, S., 2016. WiSEGATE: Wireless Sensor Network Gateway framework for internet of things. Wireless Networks, 22(5), pp. 1475–1491.   
[146] Xu, Q., Aung, K.M.M., Zhu, Y. and Yong, K.L., 2016. Building a large-scale object-based active storage platform for data analytics in the internet of things. The Journal of Supercomputing, 72(7), pp. 2796-2814.   
[147] Jiang, H., Shen, F., Chen, S., Li, K-C. and Jeong, Y-S., 2015. A secure and scalable storage system for aggregate data in IoT, Future Generation Computer Systems, 49, pp. 133-141.           
[148] Kizza, J.M., 2015. Guide to Computer Network Security. The Computer Communications and Networks book series. London: Springer.     
[149] Raza, S., Voigt, T. and Wallgren, L., 2013. SVELTE: Real-time intrusion detection in the Internet of Things. Ad Hoc Networks, 11( 8), pp. 2661-2674.     
[150] Costamagna, G., Kasinathan, P., Khaleel, H., Pastrone, C. and Spirito, M.A., 2013, November. DEMO: An IDS framework for internet of things empowered by 6LoWPAN. In Computer & communications security, 2013. CCS'13. SIGSAC conference on (pp. 1337-1340). ACM.
[151] Kubler, S., Främling, K. and Buda, A., 2015. A standardized approach to deal with firewall and mobility policies in the IoT. Pervasive and Mobile Computing, 20, pp. 100-114.     
[152] Russell, B. and Duren, D.V., 2016. Practical Internet of Things Security. Packt Publishing.