TBRA: Termites Based Routing Algorithm in 3D Wireless Sensor Networks

被引：0
|
作者：
Lin, Mu-Sheng [1 ]
Leu, Jenq-Shiou [1 ]
Yu, Wen-Chi [1 ]
Li, Kuen-Han [1 ]
Wu, Jean-Lien C. [2 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
[2] St Johns Univ, Dept Comp & Commun Engn, Taipei, Taiwan
来源：
2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2012年
关键词：
3D; Ant Colony Optimization (ACO); antsense; Durkin's propagation model; IEEE; 802.11; MANET; RSSI; wireless sensor networks;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper proposes a new algorithm, TBRA (Termites-Based Routing Algorithm), for use in three-dimensional mobile wireless sensor networks. The TBRA is a routing selection strategy based on the concept of the ant colony optimization algorithm. It is difficult to establish and maintain optimal routes in a 3D space because the RSSI, energy of sensor nodes, vary with time. This routing selection strategy can be used for various traffic conditions by measuring and counting the average energy of nodes, RSSI value. The main contribution of this study combines ACO algorithm and Durkin's propagation model to derive an efficient routing scheme for wireless sensor networks in a 3D space.
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页数：5
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