Optimized scheduling and enhanced dynamic routing for improved network lifetime in large scale WSN

Abstract

Wireless Sensor Network (WSN) is a distributed, dynamic, and self-organized network which consists of number of sensor nodes. The energy required for those node operations, including transfer and reception of data between nodes and base station is provided by a small battery inside the node which is a non-replaceable one. The lifetime of node decides the lifetime of the overall Sensor network. The design of large scale Wireless Sensor Network has a variety of challenges which include power consumption constraints for nodes using batteries, ability to cope with node newlinefailures, mobility of nodes, hidden areas, heterogeneity of nodes, scalability, limited storage, restricted computational facilities, lower bandwidth, high error rates, and ability to withstand harsh environmental conditions. This research tries to cover the efficient usage of scheduling, uneven clustering, and routing. Improved scheduling is used to achieve a higher value of average residual energy. The nodes assigned as Cluster Heads (CHs) are in a position to handle a large amount of data. The battery power of CHs is exhausted most rapidly. The improvement in the residual energy of a sensor node will survive for more time. The early death of sensor nodes is eliminated significantly. The energy hole in the network is also avoided which in turn prolongs the network lifetime considerably. newline newline