On the Reconstruction of a Quality Virtual Backbone in a Wireless Sensor Network With Faulty Links

被引:0
|
作者
Liang, Jiarong [1 ,2 ]
He, Feng [3 ]
Wang, Dajin [4 ]
Li, Qingnian [5 ]
机构
[1] Guangxi Univ, Sch Comp Elect & Informat, Guangxi Key Lab Multimedia Commun & Network Techno, Nanning 530004, Peoples R China
[2] Nanning Univ, Nanning 530200, Guangxi, Peoples R China
[3] Guangxi Univ, Sch Comp Elect & Informat, Nanning 530004, Peoples R China
[4] Montclair State Univ, Dept Comp Sci, Montclair, NJ 07043 USA
[5] Nanning Univ, Coll Informat Engn, Nanning 530200, Guangxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Wireless sensor networks; Approximation algorithms; Routing; Storms; Fault tolerant systems; Fault tolerance; Task analysis; Wireless sensor network; approximation algorithm; reconstruction; faulty links; distributed algorithm; connected dominating set; CONNECTED DOMINATING SET; APPROXIMATION ALGORITHMS; CONSTRUCTION; SCHEME; DESIGN;
D O I
10.1109/TNSE.2023.3321766
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The work of routing and topological control for a wireless sensor network (WSN) is often undertaken by means of its virtual backbone (VB). Usually, a WSN and its VB can be modeled as a unit disk graph (UDG) and a corresponding connected dominating set (CDS), respectively. A smaller CDS in a UDG is preferred because it will lead to less overhead. In practical applications, sensor nodes or their links in a WSN may fail due to obstacles or accidental damage. Thus, it is desirable to either construct a robust VB or be able to reconstruct a new VB. In this article, the problem of reconstructing CDSs for UDGs with faulty links is considered. First, we propose a centralized approximation algorithm for the problem. We theoretically show that for a given UDG, the size of the CDS constructed by our algorithm does not exceed xi & sdot;opt+gamma+2m , where xi & sdot;opt+gamma is the upper bound on the original CDS size, opt is the minimum CDS size in the UDG, xi and gamma are two positive constants, and m is the number of faulty links. Next, we design a distributed approximation algorithm on the basis of our centralized approximation algorithm and analyze its time and message complexity. Related simulation experiments are presented to compare our algorithm with other state-of-the-art algorithms for solving this problem, and the results show that our algorithm outperforms its competitors.
引用
收藏
页码:1277 / 1292
页数:16
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