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Distributed Reliable and Efficient Transmission Task Assignment for WSNs.
Zhu, Xiaojuan; Li, Kuan-Ching; Zhang, Jinwei; Zhang, Shunxiang.
Afiliação
  • Zhu X; School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 554, China.
  • Li KC; Dept. of Computer Science and Information Engineering, Providence University, Taichung 43301, Taiwan.
  • Zhang J; School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 554, China.
  • Zhang S; School of Computer Science and Engineering, Anhui University of Science and Technology, Huainan 554, China.
Sensors (Basel) ; 19(22)2019 Nov 18.
Article em En | MEDLINE | ID: mdl-31752178
ABSTRACT
Task assignment is a crucial problem in wireless sensor networks (WSNs) that may affect the completion quality of sensing tasks. From the perspective of global optimization, a transmission-oriented reliable and energy-efficient task allocation (TRETA) is proposed, which is based on a comprehensive multi-level view of the network and an evaluation model for transmission in WSNs. To deliver better fault tolerance, TRETA dynamically adjusts in event-driven mode. Aiming to solve the reliable and efficient distributed task allocation problem in WSNs, two distributed task assignments for WSNs based on TRETA are proposed. In the former, the sink assigns reliability to all cluster heads according to the reliability requirements, so the cluster head performs local task allocation according to the assigned phase target reliability constraints. Simulation results show the reduction of the communication cost and latency of task allocation compared to centralized task assignments. Like the latter, the global view is obtained by fetching local views from multiple sink nodes, as well as multiple sinks having a consistent comprehensive view for global optimization. The way to respond to local task allocation requirements without the need to communicate with remote nodes overcomes the disadvantages of centralized task allocation in large-scale sensor networks with significant communication overheads and considerable delay, and has better scalability.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China