Abstract
The Wireless Sensor Network (WSN) has found an extensive variety of applications, which include battlefield surveillance, monitoring of environment and traffic, modern agriculture due to their effectiveness in communication. Clustering is one of the significant mechanisms for enhancing the lifespan of the network in WSN. This clustering scheme is exploited to improve the sensor network’s lifespan by decreasing the network’s energy consumption and increasing the stability of the network. The existing cluster head selection algorithm suffers from the inconsistent tradeoffs between exploration – exploitation and global search constraints. Therefore, in this research, the hybridization of two popular optimization algorithms, namely, Harmony Search Algorithm (HSA) and Squirrel Search Algorithm (SSA) is executed for optimal selection of cluster heads in WSN with respect to distance and energy. The proposed Hybrid Squirrel Harmony Search Algorithm (HSHSA) is found to be energy efficient when compared with first node death (FND) and last node death (LND) of existing Cluster Head Selection (CHS) techniques. In addition to this, the proposed HSHSA shows enhancements in overall throughput and residual energy of the wireless sensor network by 31.02% and 85.69%, respectively than the existing algorithms.
Highlights
As an improved and innovative data acquisition and processing technology, Wireless Sensor Network (WSN) has an extensive variety of applications in environmental monitoring, military, space exploration, smart furniture, etc. [1]
The simulation of the suggested Hybrid Squirrel Harmony Search Algorithm (HSHSA) approach of Cluster Head Selection (CHS) is implemented in MATLAB R2018a environment
The proposed HSHSA is compared with the existing CHS techniques namely, Direct Transmission, LEACH [26], Particle Swarm Optimization (PSO) [27], Harmony Search Algorithm (HSA) [28], and Squirrel Search Algorithm (SSA) [29]
Summary
As an improved and innovative data acquisition and processing technology, Wireless Sensor Network (WSN) has an extensive variety of applications in environmental monitoring, military, space exploration, smart furniture, etc. [1]. The sensor network algorithms and protocols must be capable of self-organizing Such a protocol design will improve network lifetime and utilize maximum node energy [10]. Cluster Heads can aggregate, process and filter the information forwarded by the member nodes of the cluster. This reduces the network bandwidth and conserves energy consumption. An efficient selection of cluster heads will improve the network‟s lifespan and maximizes the energy of the sensor nodes. This cluster based reconfiguration of the network is performed based on the desired requirements
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