Interference and Congestion Aware Gradient Broadcasting Routing for Wireless Sensor Networks

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

submitted to Eurasip Journal on Wireless Communications and Networking, special issue on Interference Management in Wireless

Scientific paper

This paper addresses the problem of reliable transmission of data through a sensor network. We focus on networks rapidly deployed in harsh environments. For these networks, important design requirements are fast data transmission and rapid network setup, as well as minimized energy consumption for increased network lifetime. We propose a novel broadcasting solution that accounts for the interference impact and the congestion level of the channel, in order to improve robustness, energy consumption and delay performance, compared to a benchmark routing protocol, the GRAB algorithm. Three solutions are proposed: P-GRAB, a probabilistic routing algorithm for interference mitigation, U-GRAB, a utility-based algorithm that adjusts to real-time congestion and UP-GRAB, a combination of P-GRAB and U-GRAB. It is shown that P-GRAB provides the best performance for geometry-aware networks while the U-GRAB approach is the best option for unreliable and unstable networks.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Interference and Congestion Aware Gradient Broadcasting Routing for Wireless Sensor Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Interference and Congestion Aware Gradient Broadcasting Routing for Wireless Sensor Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Interference and Congestion Aware Gradient Broadcasting Routing for Wireless Sensor Networks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-553627

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.