research-article

The problem of cooperation among different wireless sensor networks

Authors:

Pedro O.S. Vaz de Melo,

Felipe D. da Cunha,

Jussara M. Almeida,

Antonio A.F. Loureiro,

Raquel A.F. MiniAuthors Info & Claims

MSWiM '08: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems

Pages 86 - 91

https://doi.org/10.1145/1454503.1454521

Published: 27 October 2008 Publication History

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Abstract

An important issue in the design of a wireless sensor network (WSN) is to devise techniques to make efficient use of its energy, and thus, extend its lifetime. When two WSNs are deployed at the same place and their sensors cooperate with the other networks forwarding their packets, the distance of the transmissions decreases and, therefore, the power consumption as well. The goal of this work is to examine the extent to which different WSNs can cooperate and save their energy. Simulation results reveal that different densities and data collecting rates among WSNs, the routing algorithm and the path loss exponent have major impact in the establishment of cooperation.

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Cited By

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Salles TRocha LGonçalves MAlmeida JMourão FMeira WViegas F(2016)A quantitative analysis of the temporal effects on automatic text classificationJournal of the Association for Information Science and Technology10.1002/asi.2345267:7(1639-1667)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/asi.23452
Fogue MGarrido PMartinez FCano JCalafate CManzoni P(2013)Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban ScenariosSensors10.3390/s13040522013:4(5220-5250)Online publication date: 19-Apr-2013
https://doi.org/10.3390/s130405220
de Melo PCunha FLoureiro A(2013)A distributed protocol for cooperation among different wireless sensor networks2013 IEEE International Conference on Communications (ICC)10.1109/ICC.2013.6655566(6035-6039)Online publication date: Jun-2013
https://doi.org/10.1109/ICC.2013.6655566
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Index Terms

The problem of cooperation among different wireless sensor networks
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation evaluation
2. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

MSWiM '08: Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems

October 2008

430 pages

ISBN:9781605582351

DOI:10.1145/1454503

General Chairs:
Sotiris Nikoketseas
CTI/University of Patras, Greece
,
Nael Abu-Ghazaleh
SUNY at Binghamton, USA
,
Program Chairs:
Brahim Bensaou
University of Science and Technology, Hong Kong
,
Violet R. Syrotiuk
Arizona State University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 27 October 2008

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MSWiM '08: The 11th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

October 27 - 31, 2008

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Salles TRocha LGonçalves MAlmeida JMourão FMeira WViegas F(2016)A quantitative analysis of the temporal effects on automatic text classificationJournal of the Association for Information Science and Technology10.1002/asi.2345267:7(1639-1667)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1002/asi.23452
Fogue MGarrido PMartinez FCano JCalafate CManzoni P(2013)Identifying the Key Factors Affecting Warning Message Dissemination in VANET Real Urban ScenariosSensors10.3390/s13040522013:4(5220-5250)Online publication date: 19-Apr-2013
https://doi.org/10.3390/s130405220
de Melo PCunha FLoureiro A(2013)A distributed protocol for cooperation among different wireless sensor networks2013 IEEE International Conference on Communications (ICC)10.1109/ICC.2013.6655566(6035-6039)Online publication date: Jun-2013
https://doi.org/10.1109/ICC.2013.6655566
Martinez FToh CCano JCalafate CManzoni P(2012)Determining the Representative Factors Affecting Warning Message Dissemination in VANETsWireless Personal Communications: An International Journal10.1007/s11277-011-0379-367:2(295-314)Online publication date: 1-Nov-2012
https://dl.acm.org/doi/10.1007/s11277-011-0379-3
Vaz de Melo PFernandes CMini RLoureiro AAlmeida V(2011)Game Theory in Wireless Sensor NetworksGame Theory for Wireless Communications and Networking10.1201/b10975-5(39-60)Online publication date: 28-Jun-2011
https://doi.org/10.1201/b10975-5
Singsanga SHattagam WTat E(2010)Packet forwarding in overlay wireless sensor networks using NashQ reinforcement learning2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing10.1109/ISSNIP.2010.5706760(85-90)Online publication date: Dec-2010
https://doi.org/10.1109/ISSNIP.2010.5706760

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Relay Node Placement in Wireless Sensor Networks

A cell-based sensor deployment strategy with improved coverage for mobility-assisted hybrid wireless sensor networks

Minimum k, ω-angle barrier coverage in wireless camera sensor networks

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