Distributed Energy Efficient Tracking in Hybrid wireless sensor network (DEETH)

Abstract

In wireless sensor network (WSN), it is a complex task to track the target when it is moving randomly in an unknown environment. It also becomes difficult to cover a complete searching area because of the limited searching range and energy of sensor nodes as they are few in number. The author proposes a distributed energy efficient tracking in a hybrid WSN (DEETH) to track a randomly moving target in an unknown searching. Hybrid WSN that is proposed has both static sensor nodes (SSNs) and mobile sensor nodes (MSNs), which are deployed in the searching area. The MSNs move collectively using particle swarm techniques to search a target. The SSNs are deployed for tracking the presence of a target and giving this information to the base station. As per the information given by SSN, MSNs travel to the target and track it. Simulation results prove that proposed technique successfully tracks the target using less number of nodes and also less amount of energy. KEYWORDS energy consumption, particle swarm optimization, RSS-based target tracking, sHybrid wireless sensor network | INTRODUCTIONIn the recent times, wireless sensor network (WSN) has gained momentum and is utilized for border surveillance, mine detection, animal tracking, etc for the purpose of detecting and tracking intruders, observing their behaviors, and controlling their illegal activities. In these applications, a randomly moving tracking target is a common complex problem.A number of techniques are suggested in the literature to provide a solution, but still, there are a lot of challenges like the reliability of networks, communication protocol, usages of heterogeneous sensors in the network, distributed and collaborative data processing, sensor deployment to cover complete searching area, data aggregation, tracking accuracy, and energy consumption. 1 Many authors have proposed their solutions by considering 1 or 2 challenges, but still, there is a need to provide a generic solution for area surveillance. 2,3 In the proposed system, Particle Swarm Optimization (PSO)-based mobile sensor node (MSN) navigation is implemented. 4,5 The objectives of the paper are (1) to simulate randomly moving target searching in an unknown environment, with minimum sensor nodes in hybrid WSN (static sensor node [SSN] and MSN), (2) to efficiently use, PSO technique to achieve group movements of MSNs for target searching, and (3) to compare energy of all approaches.

A target group tracking algorithm based on a hybrid sensor network

“…We compare our proposed HNTA with the algorithm proposed in Refs. [30] and [31], which are called SOTA and DEETH respectively. In SOTA, the network is organized into several grids.…”