Trusted Cluster based Optimal Multi-sink Repositioning Technique for WSNs using Improved Bull Optimization and Clonal Selection Algorithm

Abstract

Wireless Sensor Networks (WSNs) are networking devices, which are sending, receiving information and monitoring the data through the sink node. Sink node of WSNs are collect and forwarded, centralized the all data, also called base station. There are some issues are leads to affect the function of sink nodes they are, quality of service (QoS), high bandwidth demand, high energy consumption, provisioning, compressing techniques, data processing also cross-layer design. If these issues are may affect the whole system, it may create node failure. To overcome these problems, we propose a TC-OMSR technique for reduce that issues and increases node parameters. A trusted cluster based optimal multi-sink repositioning technique (TC-OMSR) is proposed using improved Bull optimization and clonal selection algorithm. In TC-OMSR technique, first we introduce an Improved Bull Optimization for efficient cluster formation based on the basic behavior of sensor nodes. Then, we illustrate Clonal Selection Algorithm to compute the trust of each node based on multiple constraints are energy consumption, network lifetime, mobility and received signal strength. From computed trust values, the highest trust value owned sensor node is considered as CH in the cluster. Finally, the execution of proposed TC-OMSR technique is compared along the existing techniques with regards to delay, network lifetime, delivery ratio, energy consumption, throughput and false positive rate.