Abstract
As per the studies on Wireless Sensor Network (WSN), the major concern of WSN is network lifespan and Quality of Service (QoS) improvement as the sensor nodes are having limited processing and battery capabilities. The clustering based methods delivered improved performance compared to non-clustering methods, but cluster heads (CHs) suffered from the excessive load which leads more energy consumption of sensor nodes that becomes the CH in each interval. The mobile agent’s technology solves such problems. But using mobile agent’s leads problems of data security and unreliable communications in WSN. In this paper, we proposed novel mobile specialists based clustering protocol utilizing the adjusted particle swarm optimization (PSO) algorithm called Secure Mobile Agent based Clustering using modified PSO (SMACP). To optimize the clustering performance we design modified PSO based in CH selection and cluster formation performed efficiently. To secure data communications using the mobile agents, we applied the trust evaluation scheme to evaluate each mobile agents and sensors using parameters such as residual energy, distance, and packet forwarding probability. The simulation results computed for different WSNs in terms of energy efficiency, average throughput, packet delivery ratio (PDR), also, start to finish delay. The exhibition demonstrates that SMACP outperformed the previous methods effectively.
Highlights
The architecture of sensors nodes shows that the lifespan of a network is principally reliant on the battery of the node [1]
The proposed SMACP is differing from above works as we first improved the performance of particle swarm optimization (PSO) technique before applying it for the mobile agents based clustering
The problems with CM2SV2 and MAPE protocols addressed by proposed SMACP which improves the performance of energy efficiency compared to both protocols as the efficient PSO algorithm used for clustering and trust ware data communications
Summary
The architecture of sensors nodes shows that the lifespan of a network is principally reliant on the battery of the node [1]. It is of utmost importance to employ energy efficient protocols for primary tasks i.e. sensing, networking and communication. In the light of current body of research, sensors have been considered to be deployed in non-deterministic area; the deployment, networking and communication shall be carried out efficiently. An in-depth study of literature revealed that lot many system architectures, communication protocols and data aggregation algorithms are available addressing the need of energy efficiency. In a non-deterministic environment, wireless sensors are deployed randomly and they form an ad hoc network [2]. Various algorithms supporting the hierarchical clustering for efficient coverage and connectivity and information processing are available in literature and are being discussed in the upcoming sections.
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