Geography-informed energy conservation for Ad Hoc routing

Abstract

We introduce a <i>geographical adaptive fidelity</i> (GAF) algorithm that reduces energy consumption in ad hoc wireless networks. GAF conserves energy by identifying nodes that are equivalent from a routing perspective and then turning off unnecessary nodes, keeping a constant level of routing <i>fidelity</i>. GAF moderates this policy using application- and system-level information; nodes that source or sink data remain on and intermediate nodes monitor and balance energy use. GAF is independent of the underlying ad hoc routing protocol; we simulate GAF over unmodified AODV and DSR. Analysis and simulation studies of GAF show that it can consume 40% to 60% less energy than an unmodified ad hoc routing protocol. Moreover, simulations of GAP suggest that network lifetime increases proportionally to node density; in one example, a four-fold increase in node density leads to network lifetime increase for 3 to 6 times (depending on the mobility pattern). More generally, GAF is an example of <i>adaptive fidelity</i>, a technique proposed for extending the lifetime of self-configuring systems by exploiting redundancy to conserve energy while maintaining application fidelity.

DOI: 10.1145/381677.381685

Extracted Key Phrases

Showing 1-10 of 1,545 extracted citations
0100200300'02'04'06'08'10'12'14'16
Citations per Year

2,983 Citations

Semantic Scholar estimates that this publication has received between 2,719 and 3,272 citations based on the available data.

See our FAQ for additional information.