Energy Efficient Multi-hop routing scheme using Taylor based Gravitational Search Algorithm in Wireless Sensor Networks

A group of small sensors can participate in the wireless network infrastructure and make appropriate transmission communication sensor networks. There are numerous uses for drones, including military, medical, agricultural, atmospheric monitoring. The power sources available to nodes WSNs restricted. Furthermore, because this, a diverse method energy availability is required, primarily over vast distance, which Multi-Hop (MH) systems used. Obtaining optimum routing path between still significant problem, even when multi-hop reduce cost needed by every node along way. As result, number transmissions must be kept minimum provide effective extend system's lifetime. To solve problem WSN, Taylor based Gravitational Search Algorithm (TBGSA) proposed, combines series with search algorithm discover best hops routing. Initially, categorised as groups or clusters maximum capable access cluster head next action switching multiple via manner. (CH) Cluster Head chosen using Artificial Bee Colony (ABC) algorithm, then data transmitted utilizing comparison result shows out extension networks longevity proposed existing EBMRS, MOGA, DMEERP methods. lifetime increased 13.2%, 21.9% 29.2% better than DMEERP, EBMRS respectively.