Issue No. 06 - June (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2012.88
Shan Chu , Motorola Solutions, Holtsville, NY, USA
Peng Wei , Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
Xu Zhong , Dept. of Mech. Eng., Stony Brook Univ., Stony Brook, NY, USA
Xin Wang , Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
Yu Zhou , Dept. of Mech. Eng., Stony Brook Univ., Stony Brook, NY, USA
In recent years, we have witnessed a surge of interest in enabling communications over meshed wireless networks. Particularly, supporting peer-to-peer communications over a multihop wireless network has great potential in enabling ubiquitous computing. However, many wireless nodes have limited capabilities, for example, sensor nodes or small handheld devices. Also, the end-to-end capacity and delay degrade significantly as the path length increases with the number of network nodes. In these scenarios, the deployment of a backbone network could potentially facilitate higher performance network communications. In this paper, we study the novel reinforced backbone network (RBN) deployment problem considering the practical limitation in the number of available backbone nodes and enforcing backbone network connectivity. We propose an iterative and adaptive (ITA) algorithm for efficient backbone network deployment. In addition, in order to provide the performance bound, we redefine and solve the problem by implementing the genetic algorithm. Finally, we present our simulation results under various settings and compare the performance of the proposed ITA algorithm and the genetic algorithm. Our study indicates that the proposed ITA algorithm is promising for deploying a connected RBN with a limited number of available backbone nodes.
Wireless communication, Wireless mesh networks, Ubiquitous networks
Shan Chu, Peng Wei, Xu Zhong, Xin Wang and Yu Zhou, "Deployment of a Connected Reinforced Backbone Network with a Limited Number of Backbone Nodes," in IEEE Transactions on Mobile Computing, vol. 12, no. 6, pp. 1188-1200, 2013.