tailieunhanh - Báo cáo hóa học: " Research Article Opportunistic Data Collection in Sparse Wireless Sensor Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: IResearch Article Opportunistic Data Collection in Sparse Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2011 Article ID 401802 20 pages doi 2011 401802 Research Article Opportunistic Data Collection in Sparse Wireless Sensor Networks Jorge M. Soares 1 Mirko Franceschinis 2 Rui M. Rocha 1 3 WanshengZhang 4 and Maurizio A. Spirito2 1Instituto Superior Tecnico Technical University of Lisbon Avenida. Prof. Dr. Cavaco Silva 2744-016 Porto Salvo Portugal 2 Pervasive Radio Technologies PeRT Lab Istituto Superiore Mario Boella Via Pier Carlo Boggio 61 10138 Torino Italy 3Instituto de Telecomunicacões Av. Rovisco Pais 1 1049-011 Lisboa Portugal 4Dipartimento di Elettronica Politecnico di Torino Corso Duca degli Abruzzi 24 10129 Torino Italy Correspondence should be addressed to Rui M. Rocha Received 30 April 2010 Accepted 4 September 2010 Academic Editor Sergio Palazzo Copyright 2011 Jorge M. Soares et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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 paper 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 setup was also used to seek a