An Enhanced PEGASIS Algorithm with Mobile Sink Support for Wireless Sensor Networks

被引:239
作者
Wang, Jin [1 ]
Gao, Yu [2 ]
Yin, Xiang [2 ]
Li, Feng [1 ]
Kim, Hye-Jin [3 ]
机构
[1] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha, Hunan, Peoples R China
[2] Yangzhou Univ, Sch Informat Engn, Yangzhou, Jiangsu, Peoples R China
[3] Sungshin W Univ, Business Adm Res Inst, Seoul, South Korea
基金
中国国家自然科学基金;
关键词
CLUSTERING-ALGORITHM; ENERGY-EFFICIENT; OPTIMIZATION;
D O I
10.1155/2018/9472075
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Energy efficiency has been a hot research topic for many years and many routing algorithms have been proposed to improve energy efficiency and to prolong lifetime for wireless sensor networks (WSNs). Since nodes close to the sink usually need to consume more energy to forward data of its neighbours to sink, they will exhaust energy more quickly. These nodes are called hot spot nodes and we call this phenomenon hot spot problem. In this paper, an Enhanced Power Efficient Gathering in Sensor Information Systems (EPEGASIS) algorithm is proposed to alleviate the hot spots problem from four aspects. Firstly, optimal communication distance is determined to reduce the energy consumption during transmission. Then threshold value is set to protect the dying nodes and mobile sink technology is used to balance the energy consumption among nodes. Next, the node can adjust its communication range according to its distance to the sink node. Finally, extensive experiments have been performed to show that our proposed EPEGASIS performs better in terms of lifetime, energy consumption, and network latency.
引用
收藏
页数:9
相关论文
共 29 条
[1]   Routing techniques in wireless sensor networks: A survey [J].
Al-Karaki, JN ;
Kamal, AE .
IEEE WIRELESS COMMUNICATIONS, 2004, 11 (06) :6-28
[2]   Wireless sensor networks for healthcare: A survey [J].
Alemdar, Hande ;
Ersoy, Cem .
COMPUTER NETWORKS, 2010, 54 (15) :2688-2710
[3]  
[Anonymous], 2017, APPL INTELL
[4]  
[Anonymous], PEER TO PEER NETWORK
[5]  
[Anonymous], IEEE HAW INT C SYST
[6]  
[Anonymous], P 2005 IEEE INT S
[7]  
[Anonymous], MICROSYSTEM TECHNOLO
[8]  
[Anonymous], P IEEE AER C
[9]   PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks [J].
Azharuddin, Md ;
Jana, Prasanta K. .
SOFT COMPUTING, 2017, 21 (22) :6825-6839
[10]  
BOKAREVA T., 2006, WIRELESS SENSOR NETW