Sensor deployment in wireless sensor networks with linear topology using virtual node concept

被引:0
作者
Rodrigue K. Domga
Razvan Stanica
Maurice Tchuente
Fabrice Valois
机构
[1] Université de Yaoundé I,CETIC, LIRIMA, Faculté des Sciences
[2] CITI-Inria,INSA Lyon
来源
Wireless Networks | 2019年 / 25卷
关键词
Linear wireless sensor network; Deployment; Energy efficiency; Virtual node; Greedy algorithm; Lifetime;
D O I
暂无
中图分类号
学科分类号
摘要
In a multi-hop wireless sensor network with a convergecast communication model, there is a high traffic accumulation in the neighborhood of the sink. This area constitutes the bottleneck of the network since the sensors deployed withing it rapidly exhaust their batteries. In this paper, we consider the problem of sensors deployment for lifetime maximization in a linear wireless sensor network. Existing approaches express the deployment recommendations in terms of distance between consecutive sensors. Solutions imposing such constraints on the deployment may be costly and difficult to manage. In this paper, we propose a new approach where the network is formed of virtual nodes, each associated to a certain geographical area. An analytical model of the network traffic per virtual node is proposed and a greedy algorithm to calculate the number of sensors that should form each virtual node is presented. Performance evaluation shows that the greedy deployment can improve the network lifetime by up to 40%, when compared to the uniform deployment. Moreover, the proposed approach outperforms the related work when complemented by a scheduling algorithm which reduces the messages overhearing. It is also shown that the lifetime of the network can be significantly improved if the battery capacity of each sensor is dimensioned taking into account the traffic it generates or relays.
引用
收藏
页码:4947 / 4962
页数:15
相关论文
共 76 条
[11]  
Wang P(2015)Deploying wireless sensor networks with fault-tolerance for structural health monitoring IEEE Transactions on Computers 64 382-395
[12]  
Vuran M(2017)Optimal planning of WSN deployments for in situ lunar surveys IEEE Transactions on Aerospace and Electronic Systems 53 1866-1879
[13]  
Al-Rodhaan M(2017)Optimal WSN deployment models for air pollution monitoring IEEE Transactions on Wireless Communications 16 2723-2735
[14]  
Al-Dhelaan A(2018)A novel sensor node deployment using low discrepancy sequences for WSN Wireless Personal Communications 100 241-254
[15]  
Akyildiz I(2018)Lifetime improvement in wireless sensor networks using hybrid differential evolution and simulated annealing (DESA) Ain Shams Engineering Journal 9 655-663
[16]  
Noori M(2018)An overview of routing techniques for road and pipeline monitoring in linear sensor networks Wireless Networks 24 2133-2143
[17]  
Ardakani M(2004)Medium access control with coordinated adaptive sleeping for wireless sensor networks IEEE/ACM Transactions on Networking 12 493-506
[18]  
Olariu S(2012)On maximizing the lifetime of wireless sensor networks using virtual backbone scheduling IEEE Transactions on Parallel and Distributed Systems 23 1528-1535
[19]  
Stojmenovic I(2007)Transmission scheduling for optimizing sensor network lifetime: A stochastic shortest path approach IEEE Transactions on Signal Processing 55 2294-2309
[20]  
Liu X(undefined)undefined undefined undefined undefined-undefined