A generalized probabilistic topology control for wireless sensor networks
Liu, Yunhuai; Ni, Lionel; hu,Chuanping
刊名Selected Areas in Communications
2012
英文摘要Topology control is an effective method to improve the energy-efficiency and increase the communication capacity of Wireless Sensor Networks (WSNs). Traditional topology control algorithms are based on deterministic model that fails to consider lossy links which provide only probabilistic connectivity. Noticing this fact, we propose a novel probabilistic network model. We meter the network connectivity using network reachability. It is defined as the minimal of the upper limit of the end-to-end delivery ratio between any pair of nodes in the network. We attempt to find a minimal transmission power for each node while the network reachability is above a given application-specified threshold. The whole procedure is called probabilistic topology control (PTC). We prove that PTC is NP-hard and propose a fully distributed algorithm called BRASP. We prove that BRASP has the guaranteed performance and the communication overhead is O(\vert E \vert + \vert V \vert). The experimental results show that the network energy-efficiency can be improved by up to 250% and the average node degree is reduced by 50%. © 2012 IEEE.(22 refs)
收录类别EI
原文出处http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6311237
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/4201]  
专题深圳先进技术研究院_数字所
作者单位Selected Areas in Communications
推荐引用方式
GB/T 7714
Liu, Yunhuai,Ni, Lionel,hu,Chuanping. A generalized probabilistic topology control for wireless sensor networks[J]. Selected Areas in Communications,2012.
APA Liu, Yunhuai,Ni, Lionel,&hu,Chuanping.(2012).A generalized probabilistic topology control for wireless sensor networks.Selected Areas in Communications.
MLA Liu, Yunhuai,et al."A generalized probabilistic topology control for wireless sensor networks".Selected Areas in Communications (2012).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace