Optimal geometrical sink location estimation for two-tiered wireless sensor networks

Two-tiered networking architecture scheme has been used for over a decade in clustered wireless sensor networks for which an accurate localisation of the sink plays a critical role for maximising network lifetime. Solutions so far have been for over-simplified cases of single sink with upper and lower bounds for constant and uniformly distributed loads that mostly suffer from convergence issues in practice. In order to overcome this problem, the authors propose a new sink location estimating method that combines multi-hop inter-cluster routing with single-hop intra-cluster routing where the death of first cluster head counts as network lifetime. For doing this, the authors propose a geometrical solution for locating the optimum sink placement using an algorithm outlining the novel approach that has been demonstrated to be superior to other methods for its convergence and many other practical features such as data rates and cluster heads.

[1]  Jianping Pan,et al.  Optimal base-station locations in two-tiered wireless sensor networks , 2005, IEEE Transactions on Mobile Computing.

[2]  Chung-Ming Huang,et al.  Efficient power-consumption-based load-sharing topology control protocol for harsh environments in wireless sensor networks , 2009, IET Commun..

[3]  Wei Zhou,et al.  DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response , 2010, IEEE Communications Magazine.

[4]  Prashant J. Shenoy,et al.  SensEye: a multi-tier camera sensor network , 2005, ACM Multimedia.

[5]  Mohamed F. Younis,et al.  Positioning of Base Stations in Wireless Sensor Networks , 2007, IEEE Communications Magazine.

[6]  Michael J. Neve,et al.  Base station placement in indoor wireless systems using binary integer programming , 2006 .

[7]  Guolong Chen,et al.  Topology control in wireless sensor networks based on discrete particle swarm optimization , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[8]  Zhu Han,et al.  Lifetime Improvement in Wireless Sensor Networks via Collaborative Beamforming and Cooperative Transmission , 2007, ArXiv.

[9]  Kemal Akkaya,et al.  Base-station repositioning for optimized performance of sensor networks , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[10]  Haiyun Luo,et al.  A two-tier data dissemination model for large-scale wireless sensor networks , 2002, MobiCom '02.

[11]  Lui Sha,et al.  Design and analysis of an MST-based topology control algorithm , 2003, IEEE Transactions on Wireless Communications.

[12]  Ian F. Akyildiz,et al.  Wireless Multimedia Sensor Networks: Applications and Testbeds , 2008, Proceedings of the IEEE.

[13]  Naoki Wakamiya,et al.  Challenging issues in visual sensor networks , 2009, IEEE Wireless Communications.

[14]  Xue Zhang,et al.  Topology Control for Wireless Sensor Networks , 2007 .

[15]  Saman K. Halgamuge,et al.  Optimized sink node path using particle swarm optimization , 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

[16]  Md. Abdul Matin,et al.  Optimal placement of base stations in a two tiered wireless sensor network , 2010 .

[17]  Thakshila Wimalajeewa,et al.  PSO for Constrained Optimization: Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[18]  Hanif D. Sherali,et al.  Optimal base station selection for anycast routing in wireless sensor networks , 2006, IEEE Transactions on Vehicular Technology.