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Considering real world issues for delivering data in multi-robot sensor networks

Published: 05 November 2008 Publication History

Abstract

Sensor networks using mobile robots have recently been proposed to provide more flexible and efficient sensing. However, mobile robots in a practical world have many accidents with actuator or communication devices especially in their traveling to the destination. Moreover, in the practical world, there are many obstacles and bad conditioned area for both wireless and movement of mobile robots. In this paper, we introduce a practical scheme for delivering data with concerning a practical world issues.

References

[1]
A. Kansal, A. Somasundara, D.Jea and M.Srivastava and D. Estrin, "Intelligent fluid infrastructure for embedded networks," proc. Second International Conference Mobile Systems, Application and Services (MobiSys) 2004.
[2]
A. A. Somasundara, A. Kansal, D. D. Jea, D. Estrin and M. B. Srivastava, "Controlably mobile infrastructure for low energy embedded networks," IEEE Transactions on mobile computing, VOL.5, No.8, Aug. 2006.

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  1. Considering real world issues for delivering data in multi-robot sensor networks

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    cover image ACM Conferences
    SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems
    November 2008
    468 pages
    ISBN:9781595939906
    DOI:10.1145/1460412
    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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    New York, NY, United States

    Publication History

    Published: 05 November 2008

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    Author Tags

    1. controllable mobility
    2. practical network
    3. sensor network

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