A TRUST BASED CLUSTER HEAD SELECTION APPROACH USING RBFO AND HYBRID BFO-BSO FOR WIRELESS SENSOR NETWORK

Abstract
The devices to create a connected network are demanded by the communication task which involves in the wireless sensor network for disseminating and collecting the information based on the radio transmission. The network lifetime’s extension in the operational environment is the essential aim of the WSNs for exchanging the batteries of sensor node is an unfeasible or impossible activity probably. The selection of CHs is targeted in the clustered network that reduces the energy and transmission costs. It’s essential to make the optimal selection of CH to improve the lifetime of a network. However, Nondeterministic Polynomial (NP) hard is considered for CH selections. The natural swarm inspired algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Hybrid algorithm (Bacterial foraging Optimization) BFO-BSO (Bee Swarm Optimization) have search their path into the domain and effectiveness is proved. An approach of a trust-based cluster head selection is introduced for improving the efficiency in terms of choosing the cluster head. To compute a trust level for every node, a designing of trust model is done and is implemented. By using the additional three parameters in addition to the hybrid approach such as trust value, residual energy, and the number of neighbors, the cluster heads are chosen. For choosing of cluster head, the T-BOA is adapted to achieve the different objectives such as increased performance of a network, reduced end to end delay, and decreased usage of energy in this work.

Authors
V Rajanesh
JNTUH College of Engineering, Sultanpur, India

Keywords
T-BOA, Trust Model, ACO, BAT Algorithm, WSN, Cluster Head Selection, BFO–BSO, PSO
Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 11 , Issue: 2 )
Date of Publication :
June 2020

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