Optimization techniques to improve lifetime of wireless sensor networks: A review

Currently wireless sensor networks (WSN) are finding wide range of applications when integrated with Internet of things (IoT). WSNs contain sensor nodes which are tiny, battery operated devices. Therefore resource management in wireless sensor network is one of the significant research issues in improving the lifetime of the sensor network. Several optimization techniques have been proposed in this direction to improve life-time of WSN. In this paper, we are proposing a novel approach to address the resource management problem with respect to energy parameter which can considerably increase the network lifespan. Whenever a network is deployed for a specific application, the performance parameters that are considered for evaluation are data-redundancy, sleep-awake cycle, buffering mechanism, architectural-design, etc. This paper discusses the application of bio-inspired, Jumper Firefly Algorithm which optimizes network lifetime through centralized clustering and dynamic routing algorithm.