Abstract
Recent developments in low power electronic devices integrated into wireless communication technologies resulted in the domain of wireless sensor networks (WSN), which finds in applications in diverse data gathering and tracking applications. Since WSN is mostly deployed in harsh and inaccessible environments, it is necessary to design energy efficient and security solutions. The clustering technique is an effective way to lengthen the lifetime of WSN. But most of the clustering techniques elect cluster heads (CHs) irrespective of clusters. To resolve this issue, this paper presents a new intelligent metaheuristics based energy aware clustering with data encryption protocol (IMEAC-DEP) for WSN. The goal of the IMEAC-DEP technique is to elect an appropriate set of CHs and CHs to encrypt the data prior to intercluster communication. The proposed IMEAC-DEP model involves two major phases namely clustering and data encryption. At the first stage, a new chimp optimization algorithm based clustering (COA-C) technique is derived with four fitness parameters. Next, in the second stage, signcryption with artificial fish swarm optimization algorithm (SC-AFSA) based data encryption technique is derived. In order to validate the performance of the proposed IMEAC-DEP model, a series of experiments were performed and the results are investigated under different aspects. The resultant experimental values highlighted the superior performance of the IMEAC-DEP model over the recent stage of art methods interms of energy efficiency as well as security.
Highlights
Wireless sensor network (WSN) contains several sensors dispersed in space that is utilized for monitoring and sense the environments like humidity, temperature, sound, light, pressure, vibration, military terrain, and location for transferring data to base station (BS) via network to process [1]
This paper presents a new intelligent metaheuristics based energy aware clustering with data encryption protocol (IMEAC-DEP) for wireless sensor networks (WSN)
The resultant experimental values highlighted the superior performance of the IMEAC-DEP model over the recent stage of art methods interms of energy efficiency as well as security
Summary
Wireless sensor network (WSN) contains several sensors dispersed in space that is utilized for monitoring and sense the environments like humidity, temperature, sound, light, pressure, vibration, military terrain, and location for transferring data to base station (BS) via network to process [1]. Sensor nodes have constrained resources and battery power, energy efficiency is the most crucial problem confronted by all WSNs. The Energy Consumption (EC) on a wireless network could be reduced by separating the sensor node as cluster heads (CHs). WSN should utilize the minimum power consumption for attaining highest security to attain secured transmission between nodes [2]. Optimum energy consumption, maximizes the lifetime of network and ensuring security, is of major significance in an environment needing higher security. The convenience of CH facilities in routing switching, data fusion, and other technologies was highly enhanced
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