A minimal standard deviation overlapped area allocation strategy for adaptive antenna array wireless networks

Authors:
Jong-Shin Chen;Kuan-Yi Li;Neng-Chung Wang
Affiliations:
Graduate Institute of Networking and Communication Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.;Graduate Institute of Networking and Communication Engineering, Chaoyang University of Technology, Taichung, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, National United University, Miao-Li, Taiwan, R.O.C.
Venue:
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Year:
2008

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Abstract

The adaptive antenna array (AAA) frameworks that are more flexible to enhance the system capacity will be the mainstream for wireless networks. However, AAA frameworks generate a number of overlapped areas, i.e., more than one sensor can provide service to the areas. The allocation of overlapped areas to sensors will affect the system capacity. Therefore, this study will present a minimal standard deviation overlapped area allocation strategy for AAA wireless networks. This strategy considers the traffic loads among sensors to allocate the overlapped areas to sensors. The allocation is based on the standard deviation of the traffic loads of all sensors is minimal. Simulation results demonstrate our strategy provide more system capacity than other strategies.