Research Area:  Wireless Sensor Networks

Abstract:

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.

Keywords:  

Author(s) Name:  Debanjan Sadhukhan,Seela Veerabhadreswara Rao

Publisher name:  Springer

DOI:  10.1007/s11277-020-07999-4

Volume Information:  volume 118, pages 1–17 (2021)

Paper Link:   https://link.springer.com/article/10.1007/s11277-020-07999-4