Deployment Techniques in Wireless Sensor Networks, Coverage and Connectivity: A Survey

被引:145
作者
Farsi, Mohammed [1 ]
Elhosseini, Mostafa A. [1 ,2 ]
Badawy, Mahmoud [2 ]
Ali, Hesham Arafat [2 ]
Eldin, Hanaa Zain [2 ]
机构
[1] Taibah Univ, Coll Comp Sci & Engn, Yanbu 30012, Saudi Arabia
[2] Mansoura Univ, Fac Engn, Comp Engn & Control Syst Dept, Mansoura 35516, Egypt
关键词
Coverage; connectivity; deployment techniques; power consumption; wireless sensor network (WSN); NODE PLACEMENT; ALGORITHM; OPTIMIZATION; IMPROVEMENT; SEARCH;
D O I
10.1109/ACCESS.2019.2902072
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless sensor networks (WSNs) have gained wide attention from researchers in the last few years because it has a vital role in countless applications. The main function of WSN is to process extracted data and to transmit it to remote locations. A large number of sensor nodes are deployed in the monitoring area. Therefore, deploying the minimum number of nodes that maintain full coverage and connectivity is of immense importance for research. Hence, coverage and connectivity issues, besides maximizing the network lifetime, represented the main concern to be considered in this paper. The key point of this paper is to classify different coverage techniques in WSNs into three main parts: coverage based on classical deployment techniques, coverage based on meta-heuristic techniques, and coverage based on self-scheduling techniques. Moreover, multiple comparisons among these techniques are provided considering their advantages and disadvantages. Additionally, performance metrics that must be considered in WSNs and comparison among different WSNs simulators are provided. Finally, open research issues, as well as recommendations for researchers, are discussed.
引用
收藏
页码:28940 / 28954
页数:15
相关论文
共 57 条
[1]  
Abidin H.Z., 2017, INT J ADV SCI ENG IN, V7, P190
[2]  
Ahmad A., 2017, P AIP C P
[3]   The Optimal Deployment, Coverage, and Connectivity Problems in Wireless Sensor Networks: Revisited [J].
Al-Karaki, Jamal N. ;
Gawanmeh, Amjad .
IEEE ACCESS, 2017, 5 :18051-18065
[4]   Quantifying connectivity in wireless sensor networks with grid-based deployments [J].
Al-Turjman, Fadi M. ;
Hassanein, Hossam S. ;
Ibnkahla, Mohamad .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2013, 36 (01) :368-377
[5]   Maximizing Wireless Sensor Network Coverage With Minimum Cost Using Harmony Search Algorithm [J].
Alia, Osama Moh'd ;
Al-Ajouri, Alaa .
IEEE SENSORS JOURNAL, 2017, 17 (03) :882-896
[6]  
[Anonymous], EL COMP ENG CCECE 20
[7]  
[Anonymous], 1998, COMPUTATIONAL GEOMET
[8]   An Efficient Wireless Sensor Network for Industrial Monitoring and Control [J].
Aponte-Luis, Juan ;
Antonio Gomez-Galan, Juan ;
Gomez-Bravo, Fernando ;
Sanchez-Raya, Manuel ;
Alcina-Espigado, Javier ;
Miguel Teixido-Rovira, Pedro .
SENSORS, 2018, 18 (01)
[9]  
Bendigeri KY, 2014, ADV ELECT ELECT ENG, V4, P541
[10]   Deployment optimization for 3D industrial wireless sensor networks based on particle swarm optimizers with distributed parallelism [J].
Cao, Bin ;
Zhao, Jianwei ;
Lv, Zhihan ;
Liu, Xin ;
Kang, Xinyuan ;
Yang, Shan .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2018, 103 :225-238