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Wireless Sensor Networks (WSN) in healthcare environment continuously monitors critically ailing patients. Congestion is one of the major challenges in WSN; it causes overall channel quality to degrade, loss rates to raise, leads to buffer drops and increased delays, and tends to be grossly unfair toward nodes whose data has to traverse a larger number of radio hops. Congestion avoidance deserves first place in healthcare environment. The problem of congestion in the nodes of healthcare WSN is addressed using a Learning Automata (LA).The Learning Automata Based Congestion Avoidance Scheme (LACAS) can counter the congestion problem efficiently.
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