Several sensor network applications based on data diffusion and data management call determine the communication transfer rate between two sensors beforehand. In this framework, we consider the problem of energy efficient Communication among nodes of a wireless sensor network and propose an application-driven approach that minimizes radio activity intervals and prolongs network lifetime. On the basis of possible Communication delays we estimate packet arrival intervals at any intermediate hop of a fixed-rate data path. We study a generic strategy of radio activity minimization wherein each mode maintains the radio switched on just in the expected packet arrival intervals and guarantees low Communication latency. We define a probabilistic Model that allows the evaluation of the packet loss probability that results front the reduced radio activity. The Model Call be used to optimally choose the radio activity intervals that achieve a certain probability of successful packet delivery for a specific radio activity strategy,v. Relying oil the probabilistic model we also define I cost model that estimates the energy consumption of the proposed strategies, under specific settings. We propose three specific strategies and numerically evaluate the associated Costs. We finally Validate our work with a simulation made with TOSSIM the Berkeley motes' simulator). The simulation results confirm the Validity Of the approach and the accuracy of the analytic models. (C) 2009 Published by Elsevier B.V.

Application-driven, energy-efficient communication in wireless sensor networks

CHESSA, STEFANO
2009-01-01

Abstract

Several sensor network applications based on data diffusion and data management call determine the communication transfer rate between two sensors beforehand. In this framework, we consider the problem of energy efficient Communication among nodes of a wireless sensor network and propose an application-driven approach that minimizes radio activity intervals and prolongs network lifetime. On the basis of possible Communication delays we estimate packet arrival intervals at any intermediate hop of a fixed-rate data path. We study a generic strategy of radio activity minimization wherein each mode maintains the radio switched on just in the expected packet arrival intervals and guarantees low Communication latency. We define a probabilistic Model that allows the evaluation of the packet loss probability that results front the reduced radio activity. The Model Call be used to optimally choose the radio activity intervals that achieve a certain probability of successful packet delivery for a specific radio activity strategy,v. Relying oil the probabilistic model we also define I cost model that estimates the energy consumption of the proposed strategies, under specific settings. We propose three specific strategies and numerically evaluate the associated Costs. We finally Validate our work with a simulation made with TOSSIM the Berkeley motes' simulator). The simulation results confirm the Validity Of the approach and the accuracy of the analytic models. (C) 2009 Published by Elsevier B.V.
2009
Amato, G; Caruso, A; Chessa, Stefano
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/127436
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 11
social impact