Traffic Management– Framework for Sensor Networks with Sink Mobility

Sink Mobility is a imminent growth sensing environments promotes the increasing number of event based, sensor network applications including rescue missions, intrusion detection and smart buildings. Most of critical challenges supporting quality of service is effective in distributed congestion avoidance in these setting. In this paper the problem of traffic management in the sensor networks with a mobile sink, under sink mobility various novel challenges arise need to be addressed. We first analysis the sink mobility on traffic load in sensor networks, then propose adaptive routing, agile and load estimation techniques that effectively adapt to sink mobility relocations. A novel aspect of our technique is that it jointly considers the network load as well as path quality variations to facilitate intelligent, mobility-adaptive rate regulation at the sources. We provide a thorough study of the trade-offs induced due to persistent path quality variations and conduct extensive real MICA2-based test bed experiments to study the performance of the sensor network under sink mobility. Keywords– Wireless Sensor Networks, Mobility and Congestion Control