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Optimization of lifetime in sensor networks

Authors: Nikhil Bansal; David Bourne; Murat Firat; Maurits de Graaf; Stella Kapodistria; Kundan Kumar; Corine Meerman; +5 Authors

Optimization of lifetime in sensor networks

Abstract

We consider the problem proposed by Thales Nederland at the SWI 2012 meeting. Thales Nederland is the Dutch branch of the international Thales Group. The company specializes in designing and producing professional electronics for defence and security applications, such as radar and communication systems. Moreover, Thales Nederland acts as a local point of contact for the complete portfolio of the Thales Group. During the SWI 2012 meeting, on behalf of Thales Nederland, Dr. Maurits de Graaf posed several questions regarding the maximization of the lifetime of a wireless sensor network. We addressed these questions during the workshop and our most significant results are summarized as follows: We have proven that this lifetime maximization problem, even under the most simple constraints, is NPcomplete, so it is not possible to find an algorithm that gives the optimal solution within polynomial time. Furthermore, we have constructed a counterexample to illustrate that the heuristic currently used by Thales can be asymptotically at least logn times worse than the optimal solution. Moreover, we have developed a new heuristic and have illustrated with several numerical examples that it performs better than the heuristic currently used by Thales. Finally, we have formulated the problem as a linear programming problem and used this to quantify how far the heuristic used by Thales is from being optimal.

Countries
Italy, Netherlands
Keywords

ad hoc networks, network lifetime, multipoint relay selection, linear programming.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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