Trust based energy efficient optimized routing algorithm for wireless sensor networks

Abstract

The Wireless Sensor Network (WSN) is made up of multiple small devices known as Sensor Node (SN) that have limited resources such as energy, memory and processing power. SNs are distributed systematically or arbitrarily in a geographical terrain with limited energy and simple computation capability for effective environmental sensing, data collection and communication of the gathered data to the Base Station (BS) via the use of effective routing algorithms. When the SNs energy is depleted, the node ceases to function and the WSNs performance suffers significantly. As a result, conserving SN energy is essential in improving WSN performance. The primary goal of Data Aggregation (DA) is to provide security. The primary challenges constrained by memory size lowering network performance are secure data transfer and the pairing of secret keys to secure data among communicating SN. The foremost contribution is enhancing the security and energy efficiency of the network by proposing Enhanced Energy Efficient Location based Key Management Optimization (EEELKO) Protocol integrating trust parameters, optimization algorithm for routing process and Key Management. After evaluating the node position and trust metrics, an effective fuzzy based clustering technique is built, with highly confidential nodes designated as cluster heads. The advanced Ant Colony Optimization Algorithm thus facilitates safe routing and increasing the energy effectiveness of the network. Elliptical Curve Logic Discrete Secure Algorithm ensures secure data transmission along a chosen optimal path. newline