An Energy Balanced dynamic Topology Control algorithm for improved network lifetime
作者： Xiaoyu Chu , Harish Sethu
DOI: 10.1109/WIMOB.2014.6962225
关键词:
摘要: In wireless sensor networks, a few nodes end up being vulnerable to potentially rapid depletion of the battery reserves due either their central location or just traffic patterns generated by application. this paper, we use new approach that balances energy consumption at each nodes, thus increasing functional lifetime network. We propose distributed dynamic topology control algorithm called Energy Balanced Topology Control (EBTC) which considers actual consumed for transmission and reception achieve goal an increased lifetime. analyze algorithm’s computational communication complexity show it is equivalent lower in other algorithms. Using empirical model consumption, EBTC increases network over 40% compared best previously known
drexel.edu 参考文章(12)
Georgios Koltsidas, Fotini-Niovi Pavlidou, A game theoretical approach to clustering of ad-hoc and sensor networks Telecommunication Systems. ,vol. 47, pp. 81- 93 ,(2011) , 10.1007/S11235-010-9303-5
Harish Sethu, Thomas Gerety, A new distributed topology control algorithm for wireless environments with non-uniform path loss and multipath propagation ad hoc networks. ,vol. 8, pp. 280- 294 ,(2010) , 10.1016/J.ADHOC.2009.09.001
Ma Chaw Mon Thein, Thandar Thein, An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks 2010 International Conference on Intelligent Systems, Modelling and Simulation. pp. 287- 291 ,(2010) , 10.1109/ISMS.2010.60
Harish Sethu, Thomas Gerety, A Distributed Topology Control Algorithm in the Presence of Multipath Propagation international conference on mobile and ubiquitous systems: networking and services. pp. 1- 8 ,(2007) , 10.1109/MOBIQ.2007.4451040
Lei Shi, Wen-Zhan Song, Mingsen Xu, Alex Zelikovsky, Li Yu, Collaborative Topology Control for Lifetime Maximization mobile ad-hoc and sensor networks. pp. 182- 189 ,(2011) , 10.1109/MSN.2011.26
Ruozi Sun, Jian Yuan, Ilsun You, Xiuming Shan, Yong Ren, Energy-aware weighted graph based dynamic topology control algorithm Simulation Modelling Practice and Theory. ,vol. 19, pp. 1773- 1781 ,(2011) , 10.1016/J.SIMPAT.2010.09.002
Ning Li, J.C. Hou, Localized topology control algorithms for heterogeneous wireless networks IEEE ACM Transactions on Networking. ,vol. 13, pp. 1313- 1324 ,(2005) , 10.1109/TNET.2005.860095
A. A. Aziz, Y. A. Sekercioglu, P. Fitzpatrick, M. Ivanovich, A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks IEEE Communications Surveys and Tutorials. ,vol. 15, pp. 121- 144 ,(2013) , 10.1109/SURV.2012.031612.00124
M.J. Miller, N.H. Vaidya, Minimizing energy consumption in sensor networks using a wakeup radio wireless communications and networking conference. ,vol. 4, pp. 2335- 2340 ,(2004) , 10.1109/WCNC.2004.1311453
Saoucene Mahfoudh, Pascale Minet, Survey of Energy Efficient Strategies in Wireless Ad Hoc and Sensor Networks international conference on networking. pp. 1- 7 ,(2008) , 10.1109/ICN.2008.55