Opportunistic Data Collection in Sparse Wireless Sensor Networks

Author(s):

  • Jorge M. Soares, Instituto Superior Técnico, Technical University of Lisbon, Campus IST-Taguspark, 2744-016 Porto Salvo, Portugal
  • Mirko Franceschinis, Istituto Superiore Mario Boella (ISMB), Pervasive Radio Technologies (PeRT) Lab, Via Pier Carlo Boggio 61, 10138 Torino, Italy
  • Rui M. Rocha, Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon, Campus IST-Taguspark, 2744-016 Porto Salvo, Portugal
  • Wansheng Zhang, Politecnico di Torino, Dipartimento di Elettronica, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
  • Maurizio A. Spirito, Istituto Superiore Mario Boella (ISMB), Pervasive Radio Technologies (PeRT) Lab, Via Pier Carlo Boggio 61, 10138 Torino, Italy

Source: EURASIP Journal on Wireless Communications and Networking, Vol. 2011, Article ID 401802, 20 pages, 2011. doi:10.1155/2011/401802

Citation:

Abstract:

Opportunistic wireless sensor networks (WSNs) have recently been proposed as solutions for many remote monitoring problems. Many such problems, including environmental monitoring, involve large deployment scenarios with lower-than-average node density, as well as a long time scale and limited budgets. Traditional approaches designed for conventional situations, and thus not optimized for these scenarios, entail unnecessary complexity and larger costs. This article discusses the issues related with the design and test of opportunistic architectures, and presents one possible solution - CHARON (Convergent Hybrid-replication Approach to Routing in Opportunistic Networks). Both algorithm-specific and comparative simulation results are presented, as well as real-world tests using a reference implementation. A comprehensive experimental set-up was also used to seek a full characterization of the devised opportunistic approach including the derivation of a simple analytical model that is able to accurately predict the opportunistic message delivery performance in the used test bed.

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