全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于最优刚性图的链路质量与能量的拓扑控制算法

DOI: 10.13195/j.kzyjc.2014.0962, PP. 2055-2060

Keywords: 无线传感器网络,拓扑优化,最优刚性图,链路质量,能量消耗

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对目前无线传感器网络研究中网络能量利用率低和通信链路不可靠等问题,提出一种基于最优刚性图的网络拓扑优化算法.该算法通过建立包含链路质量和能量两方面内容的链路权值函数来构建链路可靠性强、能量利用率高的网络拓扑结构.研究结果表明,所构建的拓扑具有平均节点度低和链路性能好等优越特性.仿真结果表明,与现有拓扑控制算法相比,所提出的算法能够更有效地减少能量消耗,从而延长网络寿命.

References

[1]  Aziz A A, Sekercioglu Y A, Fitzpatrick P. A survey on distributed topology control techniques for extending the lifetime sensor of battery powered wireless sensor networks[J]. IEEE Communication Surveys and Tutorials, 2013, 15(1): 121-144.
[2]  Tapiwa C M, Gerhard H P. A distributed topology control technique for low interference and energy efficiency in wireless sensor networks[J]. IEEE Trans on Industrial Informatics, 2012, 8(1): 11-19.
[3]  Rahman M N, Matin M A. Efficient algorithm for prolonging network lifetime of wireless sensor networks[J]. Tsinghua Science and Technology, 2011, 16(6): 561-568.
[4]  Hong T, Shiu G, Lee Y. Finding base-station locations in two-tiered wireless sensor networks by particle swarm optimization[C]. Particle Swarm Optimization. East Providence: Intech, 2009: 261-274.
[5]  Ya X, Heidemann, Estrin D. Geography-informed energy conservation for ad hoc routing[C]. Annual Int Conf on Mobile Computing and Networking. Roma: ACM, 2001: 70-84.
[6]  Othman J B, Bessaoud K, Bui A, et al. Self-stabilizing algorithm for efficient topology control in wireless sensor networks[J]. J of Computational Science, 2013, 4(4): 199-208.
[7]  Riziv S, Qureshi H K, Khayam S A, et al. An energy efficient topology control algorithm for connected area coverage in wireless sensor networks[J]. J of Network and Computer Applications, 2012, 35(2): 597-605.
[8]  Torkestani J A. An energy-efficient topology construction algorithm for wireless sensor networks[J]. Computer Networks, 2013, 57(7): 1714-1725.
[9]  康一梅, 李志军, 胡江, 等. 一种低能耗层次型无线传感器网络拓扑控制算法[J]. 自动化学报, 2010, 36(4): 543-549.
[10]  (Kang Y M, Li Z J, Hu J, et al. A Low-power hierarchical wireless sensor network topology control algorithm[J]. Acta Automatica Sinica, 2010, 36(4): 543-549.)
[11]  KhanMA, Khan A, Shah S K, et al. An energy color based topology control algorithm for wireless sensor networks[J]. Wireless Sensor Network, 2013, 5(1): 1-7.
[12]  Chandane M M, Bhirud S G, Bonde S V. Distributed link quality aware routing in wireless sensor network[J]. The 2012 IEEE Int Conf on Computer Science and Automation Engineering, 2012, 25(2): 528-532.
[13]  Huang M, Cheng L L. Energy-aware topology control algorithm of wireless sensor networks based on path loss[J]. Computer Engineering, 2012, 38(5): 92-94.
[14]  Sardellitti S, Barbarossa S. Optimal topology control and power and power allocation for minimum consensus networks[J]. IEEE Trans on Singal Processing, 2012, 1(60): 383-398.
[15]  Song C C, Hsu Y C, Feng C F, et al. Construction of a wireless sensor networking platform with vibration sensing and GPS positioning[C]. IEEE ICCAS-SICE Internation Joint Conf. Fukuoka, 2009: 5570-5575.
[16]  Sun W Y, Su X L. Wireless sensor network node localization based on genetic algorithm[C]. IEEE Int Conf on Communication Software and Networks(ICCSN). Xi’an, 2011: 316-319.
[17]  Luo X Y, Li S B, Guan X P. Automatic generation of minimally persistent formations using rigidity matrix[C]. IEEE Intelligent Vehicles Symposium. Xi’an, 2009: 1198-1203.
[18]  Heinlman W R, Chandrakasana A, Balakrishnan H. Energy-efficient communication protocol for wireless sensor networks[C]. Proc of the 33rd Annual Hawaii Int Conf on System Sciences. Haweii: IEEE, 2000: 1-10.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133