Spiral Optimization Algorithm for Lifetime Enhancement of Wireless Multimedia Sensor Networks

Abstract

The Wireless Sensor Network (WSN) is considered one of the most significant networks due to the participation of both the WMSNs and traditional WSNs in the last few decades. The WSNs are the network that consists of minimum power, low cost, and its size, is small. In addition, by exploiting the multi-hop, the information shared during the communication is handled and it also presents merely easy sensing data namely humidity, temperature, etc. The WMSNs are considered as distributed sensing networks that consist of the sector sensor area. The WMSNs have the ability to transmit, receive and process the video data information that is highly rigorous and by covering with the wireless transceiver. Regarding the characteristics such as directivity and turn ability, the WSNs and WMSNs are varied. Hence, the main contribution of this work is to extend the lifespan of the network with minimized energy utilization by exploiting highly developed optimization techniques. By optimizing the parameters of the system, the optimal transmission radius is attained in order to transfer the information of the sensor to consequential sensor nodes (SNs) that are presented within range. Hence, this work presents a spiral optimization algorithm (SOA) and then the optimal Cluster Head Selection (CHS) is also presented. At last, the developed technique performance is examined and evaluated with the conventional approaches regarding the convergence rate, network energy, and alive nodes.