Chaotic Whale Optimization based Node Localization Protocol for Wireless Sensor Networks Enabled Indoor Communication

In recent times, wireless sensor networks (WSN) assisted indoor communication offers an effectual and dynamic approach for local area networks majorly in large structures or in group of many structures. Node localization is treated as an effective procedure that assists in determining the coordinate points of unidentified nodes by the use of anchor nodes. Previous works have treated the node localization as the optimization issue which can be resolved by the design of evolutionary algorithm (EA). This article introduces a novel Chaotic Whale Optimization based Node Localization Protocol for WSN (CWOLN-WSN) enabled indoor communication. The intention of the CWOLN-WSN method is for identifying the location of the unknown nodes that exist in the WSN enabled indoor communication by the utilization of known nodes with lower error and higher performance. The CWOLN-WSN technique involves the design of CWOA technique by the integration of chaotic concepts into the traditional whale optimization algorithm (WOA). For ensuring the enhanced performance of the CWOLN-WSN approach, a series of simulations are implemented and the results are inspected under several measures. The simulation outcomes reported the enhanced outcomes of the CWOLN-WSN approach on the existing methods.