Abstract | ||
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This work considers a multi-hop sensor network and addresses the problem of minimizing power consumption in each sensor node locally while ensuring two global (i.e., network wide) properties: (i) communication connectivity, and (ii) sensing coverage. A sensor node saves energy by suspending its sensing and communication activities according to a Markovian stochastic process. We show that a power level to induce a coverage radius w(n)/n is sufficient for connectivity provided that w(n) → ∞. The paper presents a Markov model and its solution for steady state distributions to determine the operation of a single node. Given the steady state probabilities, we construct a non-linear optimization problem to minimize the power consumption. Simulation studies to examine the collective behavior of large number of sensor nodes produce results that are predicted by the analytical model. |
Year | DOI | Venue |
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2007 | 10.1007/s11276-006-5875-0 | Wireless Networks |
Keywords | DocType | Volume |
Stochastic processes/Queueing theory,Mathematical programming/Optimization,Simulations | Journal | 13 |
Issue | ISSN | Citations |
4 | 1022-0038 | 12 |
PageRank | References | Authors |
0.77 | 9 | 3 |
Name | Order | Citations | PageRank |
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Bülent Yener | 1 | 1075 | 94.51 |
Malik Magdon-Ismail | 2 | 914 | 104.34 |
Fikret Sivrikaya | 3 | 123 | 13.30 |