TY - JOUR
ID - 6711
TI - Topology Control in Wireless Sensor Network using Fuzzy Logic
JO - Journal of Advances in Computer Engineering and Technology
JA - JACET
LA - en
SN - 2423-4192
AU - Nazari Dastjerdi, Samaneh
AU - Haj Seyyad Javadi, Hamid
AD - Science and Research Branch, Islamic Azad University,
Tehran, Iran
AD - Department of Mathematics and Applications, Shahed
University
Y1 - 2015
PY - 2015
VL - 1
IS - 2
SP - 39
EP - 44
KW - Wireless Sensor Network
KW - Topology control
KW - Fuzzy Logic
DO -
N2 - Network sensors consist of sensor nodes in which every node covers a limited area. The most common use ofthese networks is in unreachable fields.Sink is a node that collects data from other nodes.One of the main challenges in these networks is the limitation of nodes battery (power supply). Therefore, the use oftopology control is required to decrease power consumption and increase network accessibility.In this paper, a network is modeled by a graph. Each vertex in the graphindicatesa sensor node and the edges display the communication links between them.Changes in the graph show changes in network topology and a different path to the sink.In this research, “fuzzy logic” is used for topology control. As the fuzzy logic utilizes optimized sensing radius comparing with minimum-maximum sensing radius, we expect less dead nodes, more mean residual energy and relatively more load balance in the network. At first, 2-input fuzzy algorithm was chosen. However 3-input fuzzy algorithm was also observed due to reasons explained in the main text. In both algorithms, we haveload balance in network and prolong network lifetime. Unreachable paths are less encountered with higher rates of packet delivery. The final standard deviation (STD) reaches to its minimum level, while the residual energy in sensors remains close to each other.
UR - https://jacet.srbiau.ac.ir/article_6711.html
L1 - https://jacet.srbiau.ac.ir/article_6711_63f98c853ee43d424ed8f3ad37fe3fd9.pdf
ER -