Title :
Coordinated Rate Control in Wireless Sensor Network
Author :
Saoseng, Jean-Yves ; Tham, Chen-Khong
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore
Abstract :
We consider the problem of achievable throughput maximization in wireless sensor network. Implementing a multi-agent system enables these nodes to perform sensing tasks in coordinated manner to achieve some desired system-wide objective. Our study results in a bandwidth allocation strategy that assigns a near-optimal transmission policy while adapting to the current traffic, channel load, and buffer occupancy. We present a reinforcement learning approach to rate control in wireless sensor network. A novel feature of our method lays in the incorporation of external coordination signals produced by a variant of belief propagation in graphical models
Keywords :
bandwidth allocation; learning (artificial intelligence); multi-agent systems; telecommunication control; wireless sensor networks; bandwidth allocation strategy; belief propagation; coordinated rate control; graphical models; multiagent system; reinforcement learning approach; wireless sensor network; Channel capacity; Computer networks; Electronic mail; Intelligent networks; Learning; Monitoring; Sampling methods; Throughput; Traffic control; Wireless sensor networks;
Conference_Titel :
Communication systems, 2006. ICCS 2006. 10th IEEE Singapore International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0411-8
Electronic_ISBN :
1-4244-0411-8
DOI :
10.1109/ICCS.2006.301434
