An Optimized Energy Efficient Routing for Wireless Sensor Network using Improved Spider Monkey Optimization Algorithm
Ravi Kumar Sanapala, Sreenivasa Rao Duggirala, T Wang, G Zhang, X Yang, A Vajdi, K Muthukumaran, K Chitra, C Selvakumar, S Bozorgi, A Bidgoli, A Panchal, R Singh, R Sharma, V Vashisht, U Singh, P Mann, S Singh, S Singh, S Sharma, Z Zhao, K Xu, G Hui, L Hu, K Xu, Z Zhao, Y Luo, G Hui, L Hu, S Palvinder, S Satvir, S Gupta, P Jana, P Nayak, B Vathasavai, D Reddy, C Puttamadappa, H Suresh, A Rodrguez, C Soto, R Velzquez, N Mittal, U Singh, B Sohi, K Haseeb, B Abu, A Ahmed, T Darwish, I Ahmed, N Morsy, E Abdelhay, S Kishk, W Zongshan, D Hongwei, L Bo, B Liyong, Y Zhijun, K Guleria, A Verma, O Deepa, J Suguna, G Mutiara, O Mohd, N Suryana, A Pee, P Mann, S Singh, H Mostafaei
Abstract
Wireless Sensor Networks (WSNs) contain thousands of small and inexpensive sensor nodes distributed in the specific area for collecting the desired information from the environment. However, the sensor nodes have restricted battery energy, hence the random deployment of sensors creates issues while managing the resources for effective data delivery over the network. Therefore, this research aims to develop an energy-efficient cluster-based WSN to minimize the energy consumption of the nodes. In this paper, the Low-Energy Adaptive Clustering Hierarchy (LEACH) algorithm is used for selecting the optimal Cluster Heads (CHs) from the network. Subsequently, the Improved Spider Monkey Optimization (ISMO) is used for creating the optimal routing through the CHs to the Base Station (BS) where the multiple fitness functions such as residual energy, distance, and routing traffic are considered to optimize the ISMO. Hence, the data communication between the intermediate CHs in hierarchical cluster-based architecture helps to minimize the energy consumption of the nodes. The performance of the proposed LEACH-ISMO method is analyzed using network lifetime, total energy consumption, normalized overhead, throughput, End-to-End Delay (EED) and Packet Delivery Ratio (PDR). The existing methods namely Fuzzy C-Means (FCM) with Artificial Bee Colony (ABC), Meta-Heuristic Ant Colony Optimization based Unequal Clustering (MHACO-UC) and Optimized Quality of Service-based Clustering and Multipath Routing Protocol (OQoS-CMRP) are used to evaluate the LEACH-ISMO method. The PDR of the LEACH-ISMO method is 96.7 % for 200s, which is high when compared to the FCM-ABC, MHACO-UC and OQoS-CMRP.