SAFE ROUTING MODEL AND BALANCED LOAD MODEL FOR WIRELESS SENSOR NETWORK

Wireless Sensor Networks (WSNs) play a very important role in providing realtime data access for Big Data and Internet. However, the open deployment, energy constraint, lack of centralized administration make WSNs vulnerable to various kinds malicious attacks. In identifying sensor devices eliminating their sensed information plays mission critical applications. Standard cryptography authentication schemes cannot be directly used because resource constraint nature devices. Thus, efficient low latency methodology is required minimizing impact This paper presents Secure Load Balanced Routing (SLBR) scheme heterogeneous clustered based WSNs. SLBR better trust-based security metric that overcomes problem when sensors keep oscillating from good bad state vice versa, also balances load among CH. aids achieving security, packet transmission, efficiency performance. Experiments are conducted evaluate performance proposed model over existing routing namely Exponential Cat Swarm Optimization (ECSO). The result attained shows attains than ECSO terms (i.e., network lifetime considering first device death total death), communication overhead, throughput, processing latency, misclassification rate identification.