Research Area:  Wireless Sensor Networks
Wireless Sensor Networks (WSN), enhanced communication protocols, distributed intelligence for smart objects, wireless radio frequency systems and several other technologies and communication solutions together enable the promising next generation Internet, called Internet-of-Things. This paper presents a congestion and interference aware energy efficient routing technique for WSN namely, Survivable Path Routing. This protocol is supposed to work in the networks with high traffic because multiple sources try to send their packets to a destination at the same time, which is a typical scenario in IoT applications for remote healthcare monitoring. For selecting the next hop node, the algorithm uses a criterion which is a function of three factors: signal to interference and noise ratio of the link, the survivability factor the path from the next hop node to the destination, and the congestion level at the next hop node. Simulation results suggest that the proposed protocol works better concerning the network throughput, end-to-end delay, packet delivery ratio and the remaining energy level of the nodes. The rate of packet drops is also observed to be lesser in the congested topology scenarios.
Author(s) Name:  Manu Elappila,Suchismita Chinara and Dayal RamakrushnaParhi
Journal name:  Pervasive and Mobile Computing
Publisher name:  ELSEVIER
Volume Information:  Volume 43, January 2018, Pages 49-63
Paper Link:   https://www.sciencedirect.com/science/article/abs/pii/S1574119217300524