Energy-Efficient Mobility Heuristics for Maximizing Network Lifetime in Robotic Wireless Sensor Networks

Author:

Regis Anne W. 1

Affiliation:

1. Sri Krishna College of Engineering and Technology, India

Abstract

In a static wireless sensor networks (WSN), the fundamental issue is the formation of energy hole in the sink's immediate locality. The solution to the energy-hole problem can be resolved by incorporating mobile entities like mobile robot (MR) into the network. This chapter proposes three strategies that exploits the mobility of the MR to overcome the energy-hole problem resulting in optimized energy usage across the network and thus maximized network lifetime. Firstly, the energy hole problem using MR is formulated as an optimization model to maximize the sojourn time of the MR at each node and a MR-ranking heuristic that ranks the critical node to be serviced is proposed. Secondly, MR-optimal scheme that finds the optimal path for the MR is formulated and designed. Thirdly, Multi-MR cooperation approach is proposed where multiple MR's collaborate to service the critical nodes. Adequate experiments have been performed to analyze the performance of the proposed schemes. The proposed methods ensure uniform energy distribution and prolonged network lifetime.

Publisher

IGI Global

Reference30 articles.

1. An Algorithm of Mobile Robot Node Location Based on Wireless Sensor Network

2. Optimizing Energy Consumption for Big Data Collection in Large-Scale Wireless Sensor Networks With Mobile Collectors

3. Data Collection for Robot Movement Mechanisms in Wireless Sensor and Robot Networks

4. Energy conserving routing in wireless ad-hoc networks. In INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies;J. H.Chang,2000

5. Ciullo, D., Celik, G. D., & Modiano, E. (2010, May). Minimizing transmission energy in sensor networks via trajectory control. In Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2010 Proceedings of the 8th International Symposium on (pp. 132-141). IEEE.

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