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Maximizing Sensor Lifetime via Multi-node Partial-Charging on Sensors

Jingxiang Liu, Jian Peng, Wenzheng Xu, Weifa Liang, Tang Liu, Xi Peng, Zichuan Xu, Zheng Li, Xiaohua Jia

2022IEEE Transactions on Mobile Computing27 citationsDOI

Abstract

In this paper, we study the employment of a mobile charger to charge lifetime-critical sensors under the multi-node partial-charging model, in which the charger can simultaneously charge the sensors within its charging range and each sensor may be partially charged each time. We notice that existing studies only scheduled the charger to minimize the number of dead sensors, but did not consider the charging scheduling for the sensors that have already run out of their energy, and the dead sensors will be last charged by the mobile charger. Then, their dead durations may be very long. In this paper, we consider not only how to minimize the number of dead sensors but also reduce the dead durations of sensors. To this end, we first formulate a sensor lifetime maximization problem, which is to find a charging tour for a mobile charger to charge sensors, such that the sum of sensor lifetimes is maximized. We then propose a novel <inline-formula><tex-math notation="LaTeX">$\frac{1}{3}$</tex-math></inline-formula>-approximation algorithm for the problem. We finally evaluate the performance of the proposed algorithm through experiments. Experimental results show that both the average and maximum sensor dead durations by the proposed algorithm are up to 70&#x0025; shorter than those by existing algorithms.

Topics & Concepts

Wireless sensor networkComputer scienceMaximizationSensor nodeReal-time computingNode (physics)Dead timeAlgorithmMathematical optimizationMathematicsKey distribution in wireless sensor networksEngineeringTelecommunicationsWirelessComputer networkWireless networkStructural engineeringStatisticsEnergy Harvesting in Wireless NetworksAdvanced Battery Technologies ResearchOptimization and Search Problems