A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Abstract

Wireless Sensor Network (WSN) has been studied for more than a decades that resulted in evolution of the significant applications towards assisting in sensing physical information from human inaccesible area. It was also observed from existing sysem that energy attribute is the root cause of majority of the problems associated with WSN that also gives rise to various operational reliability issue. Therefore, the prime goal of the proposed study is to present a novel predictive optimization approach of data fusion in order to jointly address the problems associated with energy efficiency and reliable operation of sensor nodes in WSN. An analytical research approach is carried out in order to ensure that a time-based synchronization scheme contributes to offer an evolutionary approach towards significant energy optimization. A simulation-based benchmarking analysis is carried out to find that proposed system offers good energy-efficient performance in comparison to existing approaches.

Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs

“…The sensors will send their sensed data which are continuously collected at all or at some of the sensor nodes and sent to the base station (BS) for further processing [3]. Generally, sensors are typically powered by a battery, so as sensor networks grow in number and size, the replacement of exhausted batteries becomes time-consuming and inefficient [4]. While getting WSN big attention in the last decade, power consumption in the sending and receiving data between nodes is considered as one of the main challenges that needs more and more research from the scientific community [5].…”