An Efficient Congestion Avoidance Scheme for Mobile Healthcare Wireless Sensor Networks
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.