An Optimal-Distance-Based Transmission Strategy for Lifetime Maximization of Wireless Sensor Networks

被引:69
作者
Liu, Xuxun [1 ]
机构
[1] S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Wireless sensor networks; high energy efficiency; good energy balancing; network lifetime evaluation; OPTIMAL DATA PROPAGATION; ROUTING PROTOCOLS; ALGORITHM;
D O I
10.1109/JSEN.2014.2372340
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An effective transmission strategy plays a vital role in maximizing the lifetime of wireless sensor networks (WSNs). To fulfill such a maximization aim, an optimal-distance-based transmission strategy is put forward on the basis of ant colony optimization (ACO). First, by introducing two notions, most energy-efficient distance and most energy-balanced distance, a local optimal-distance achievement mechanism is presented not only for a high energy efficiency, but also a good energy balancing in WSNs. Furthermore, by working out a network lifetime evaluation method, a global optimal-distance acquirement scheme is developed to achieve energy depletion minimization for sensor nodes with maximal energy consumption throughout the network. Finally, it is proved by simulations that our findings significantly outperform the state-of-the-art solutions.
引用
收藏
页码:3484 / 3491
页数:8
相关论文
共 25 条
[1]   HYMN: A Novel Hybrid Multi-Hop Routing Algorithm to Improve the Longevity of WSNs [J].
Abdulla, Ahmed E. A. A. ;
Nishiyama, Hiroki ;
Yang, Jie ;
Ansari, Nirwan ;
Kato, Nei .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (07) :2531-2541
[2]  
[Anonymous], 2005, 19 IEEE INT PAR DIST
[3]  
Bhardwaj T. Garnett, 2001, P IEEE INT C COMM JU, V3, P785
[4]   An energy-efficient ant-based routing algorithm for wireless sensor networks [J].
Camilo, Tiago ;
Carreto, Carlos ;
Silva, Jorge Sa ;
Boavida, Fernando .
ANT COLONY OPTIMIZATION AND SWARM INTELLIGENCE, PROCEEDINGS, 2006, 4150 :49-59
[5]  
Cheng DQ, 2011, COMM COM INF SC, V134, P395
[6]  
Chengfa Li, 2005, 2005 IEEE International Conference on Mobile Adhoc and Sensor Systems
[7]  
Dorigo M., 2004, Ant colony optimization
[8]  
Ee C., 2004, P 2 INT C EMB NETW S, P148
[9]  
Efthymiou C., 2004, P 18 INT PAR DISTR P
[10]  
Jarry A, 2006, LECT NOTES COMPUT SC, V4026, P405