Research Area:  Wireless Sensor Networks
In time driven data-gathering, sensor nodes generate periodic data which are gathered at the base-station. Whereas in event driven data gathering, sensors remain idle until a critical event occurs and then the event information is sent quickly to the central unit. In hybrid data-gathering, the nodes switches between time and event-driven strategy. In this paper, we propose a hybrid data-gathering protocol that minimizes the critical event reporting delay, using anycasting forwarding techniques, and maximizes the network lifetime using sleep/wake scheduling. In our protocol, the sensor nodes generate periodic events and if the nodes detect a critical event, the event information is sent quickly to the central unit. We estimate the expected critical event reporting delay using stochastic approach and validate the same in a Monte-Carlo simulation. We show the effectiveness of our protocol, that minimizes the critical event reporting delay, using ns2 simulation, and compare our protocol with existing hybrid data-gathering protocols.
Author(s) Name:  Debanjan Sadhukhan,Seela Veerabhadreswara Rao
Journal name:  Wireless Personal Communications
Publisher name:  Springer
Volume Information:  volume 118, pages 1–17 (2021)
Paper Link:   https://link.springer.com/article/10.1007/s11277-020-07999-4