Position-based Key Sharing with Higher Connectivity and Multivariate Optimized Resource Consumption in WSN

Objectives: This paper proposes an efficient Position-based Key Sharing (PKS) scheme to achieve higher connectivity and ideal flexibility with much less consumption of resources in Wireless Sensor Network and improve the network lifetime. Methods: The design of PKS scheme consists of three steps. Initially Random Position-based Key Pre-distribution is designed in PKS scheme with the objective of increasing the connectivity through assignment of random keys and a unique ID for each sensor node in the network. Multivariate Optimization-based Collective Key Detection in PKS optimizes communication resources by assigning priority with smaller distance than to higher distance. Then, Multivariate Optimization is applied in PKS to optimize communication resources that use Message Broadcast Format for collective key detection. Finally, Key Path organization with secured channel is established based on the closest neighboring sensor nodes vertices. The design of Key-Path Detection algorithm provides a secured communication between sensor nodes and therefore supports data traffic in WSN. Findings: The results are simulated in NS2 for efficient management of data traffic in WSN. The simulation results showed that the proposed PKS scheme out performed than the existing state of the art works in terms number of sensor nodes, connectivity, resource consumption, security and network life time. Improvement: The proposed PKS scheme is able to optimize the resource usage and also improve the network lifetime as compared to the state-of-the-art works.