標題: Parallel and Local Diagnostic Algorithm for Wireless Sensor Networks
作者: Wang, Lidan
Zhang, Xiaofei
Tseng, Yu-Chee
Lin, Cheng-Kuan
資訊工程學系
Department of Computer Science
關鍵字: fault diagnosis;parallel algorithm;sensor network;wireless communication
公開日期: 1-一月-2017
摘要: In wireless sensor networks (WSNs), the sensing data of nodes have spatial similarity, so the network fault diagnosis can be done by comparing the data of neighbor nodes. When sending data, the node may send erroneous data because of the interference of the signal, thereby affecting the diagnostic accuracy of the network. This paper presents a parallel and local diagnostic algorithm (PLD) for WSN. In order to avoid the problem of signal collision, this paper constructs a special diagnosis structure, which effectively avoids the influence of signal collision on node diagnosis. The algorithm can be divided into three parts: generate the candidate sub-node set, establish the fault diagnosis structure and the diagnostic test. Diagnostic test contains four rounds. The first three rounds quickly compare perceived data of adjacent nodes in parallel, greatly reduces the time of diagnosis. In the fourth round, the most reliable node is tested with the first three rounds. Simulation results show that the proposed algorithm can guarantee higher diagnostic accuracy.
URI: http://hdl.handle.net/11536/146865
期刊: 2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS
起始頁: 334
結束頁: 337
顯示於類別:會議論文