期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2019
卷号：8
期号：1
页码：91-101
出版社：IJCSN publisher
摘要：One of the prime limitations of Wireless Multimedia Sensor Network (WMSN) is high energy consumption. The sensor
nodes are powered by battery of finite energy which rapidly gets depleted during transmission of big size multimedia data like video,
image and audio in the network. This process increases the rate of energy dissipation in the network and indirectly shortens the life span
of the whole network. Since recharging of the battery of sensor nodes is not feasible, preserving the already available energy of the
network is vital consideration in the design of various protocols. In this study, hybrid energy efficient FCM and cuckoo optimization
based clustering algorithm is proposed. The fuzzy c-mean method is used in the cluster formation while cuckoo search algorithm is
employed for CH election. The experimental results of MATLAB simulation of the proposed technique show that the technique is
suitable for maintaining the energy of the network for longer time and it also outperforms the already existing algorithms in terms of
network life time and minimum energy consumption.
关键词：WMSNs; Cuckoo search; FCM; network life time; energy consumption
