Distributed connectivity restoration in multichannel wireless sensor networks

被引:7
作者
Chouikhi, Samira [1 ,2 ]
El Korbi, Ines [1 ]
Ghamri-Doudane, Yacine [3 ]
Saidane, Leila Azouz [1 ]
机构
[1] Univ Manouba, CRISTAL Lab, Natl Sch Comp Sci, Manouba 2010, Tunisia
[2] Univ Paris Est, LIGM Lab, 5 Bd Descrates, F-75420 Champs Sur Marne, France
[3] Univ La Rochelle, Lab L3i, Av Michel Crepeau, F-17042 La Rochelle 1, France
关键词
Articulation node failure; Connectivity restoration; Failure recovery; Fault tolerance; Wireless sensor networks;
D O I
10.1016/j.comnet.2017.08.016
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless sensor networks (WSNs) are widely used in various domains. However, the specificity of the nodes deployed in these networks makes them prone to failures. To overcome this problem and guarantee the continuity of the network functioning in the presence of node failures, fault tolerance mechanisms need to be designed and integrated to ensure the correct WSN operation. In addition to node failure, the interferences present a serious problem in WSNs. Such a problem is commonly solved by using multichannel communications. Thus, in this paper, we propose a distributed solution, called Connectivity Restoration for Multi-Channel WSNs (CR-MC), to recover from a connectivity loss for multichannel WSNs. The main task of this approach targets the restoration of the connectivity and the reassignment of the channels in a multichannel network after the failure of an articulation node whose failure leads to the network partitioning. CR-MC uses only the neighborhood information to execute the recovery and the channel reassignment tasks. On the other hand, if we consider multi-hop WSNs, a routing tree is generally constructed to disseminate the information to the sink node. Hence, the radio channels should be assigned with a great care to respect these network particularities. In this context, we propose a second solution, called Connectivity Restoration for Routing based Multi-Channel WSNs (CR-RMC) that exploits the routing tree as well as the vicinity information while allocating the channels. We compare the performance of the two proposed approaches CR-MC and CR-RMC by evaluating them through simulations. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:282 / 295
页数:14
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