ENHANCING NETWORK LIFETIME IN WIRELESS SENSOR NETWORKS USING ADAPTIVE THRESHOLD BASED CLUSTERING

With the advent of the Internet of Things (IoT), clustering algorithms for wireless sensor networks have gained unprecedented importance. A collection of wireless sensor networks constitutes the IoT framework. A Wireless Sensor Network (WSN) is a collection of numbers of connected sensor nodes. The paper proposes an optimized energy efficient routing protocol for the enhancement of network lifetime in Wireless Sensor Networks. The essence of the protocol lies in the fact that it changes the cluster size as well as the cluster head dynamically at the beginning of every iteration. Both heterogeneous and non-heterogeneous networks are considered. Moreover, a threshold based approach is used so as to reduce the total number of transmissions thereby bringing down the energy consumption. A delay time is introduced to re-transmit the data in case the transmission thresholds are not exceeded. This adds a point of safety to the algorithm. The obtained results show that the proposed system renders higher network lifetime compared to previous approaches.