Premium
Prolonging lifetime for wireless rechargeable sensor networks through sleeping and charging scheduling
Author(s) -
Wang Kun,
Wang Lei,
Lin Chi,
Obaidat Mohammad S.,
Alam Muhammad
Publication year - 2020
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.4355
Subject(s) - computer science , wireless sensor network , scheduling (production processes) , energy consumption , redundancy (engineering) , wireless , computer network , distributed computing , real time computing , mathematical optimization , electrical engineering , telecommunications , engineering , mathematics , operating system
Summary Prolonging network lifetime is a fundamental requirement in wireless sensor network (WSN). Existing charging scheduling algorithms suffer from high node redundancy and energy consumption issues. In this paper, we study WSN charging problem from the perspectives of energy conservation combined with energy replenishment scheduling. Firstly, we detect the redundant nodes whose energy is wasted in the network functionality and develop a K‐covering redundant nodes sleeping scheduling algorithm (KRSS) for reducing energy. Secondly, we employed multiple wireless charging vehicles (WCVs) for energy replenishment and optimize the charging scheduling algorithm to prevent any exhaustion of nodes, and we proposed a distance and energy–oriented charging scheduling algorithm (DECS) with multiple WCVs. Simulation experiments are conducted to show the advantages of the proposed KRSS+DECS, confirming that our scheme is capable of removing redundant nodes, lowering node failures, and prolonging network lifetime.