A Low-Latency and Energy-Efficient Neighbor Discovery Algorithm for Wireless Sensor Networks

被引:5
作者
Gu, Zhaoquan [1 ]
Cao, Zhen [2 ]
Tian, Zhihong [1 ]
Wang, Yuexuan [3 ]
Du, Xiaojiang [4 ]
Mohsen, Guizani [5 ]
机构
[1] Guangzhou Univ, Cyberspace Inst Adv Technol, Guangzhou 510006, Peoples R China
[2] Rice Univ, Dept Comp Sci, Houston, TX 77025 USA
[3] Zhejiang Univ, Coll Comp Sci & Technol, Hangzhou 310027, Peoples R China
[4] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
[5] Qatar Univ, Comp Sci & Engn Dept, Doha 2713, Qatar
基金
国家重点研发计划;
关键词
neighbor discovery; wireless sensor networks; communication collision; discovery latency; duty cycle; KEY MANAGEMENT SCHEME; AD HOC; INTERNET;
D O I
10.3390/s20030657
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Wireless sensor networks have been widely adopted, and neighbor discovery is an essential step to construct the networks. Most existing studies on neighbor discovery are designed on the assumption that either all nodes are fully connected or only two nodes compose the network. However, networks are partially connected in reality: some nodes are within radio range of each other, while others are not. Low latency and energy efficiency are two common goals, which become even more challenging to achieve at the same time in partially connected networks. We find that the collision caused by simultaneous transmissions is the main obstruction of achieving the two goals. In this paper, we present an efficient algorithm called Panacea to address these challenges by alleviating collisions. To begin with, we design Panacea-NCD (Panacea no collision detection) for nodes that do not have a collision detection mechanism. When n is large, we show the discovery latency is bounded by O(nlnn) for any duty cycle (the percentage time to turn on the radio), where each node has n neighbors on average. For nodes that can detect collisions, we then present Panacea-WCD which also bounds the latency within O(nlnn) slots. Finally, we conduct extensive evaluations and the results also corroborate our analyses.
引用
收藏
页数:19
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