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    A Study on Data Aggregation and Reliability in Managing Wireless Sensor Networks


    Brown, S. and Sreenan, C.J. (2007) A Study on Data Aggregation and Reliability in Managing Wireless Sensor Networks. In: Proceedings of the IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS 2007), 8-11th October, 2007, Pisa, Italy.

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    Abstract

    Using data aggregation to reduce power consumption is a well studied area. In this paper we show a new result: data aggregation can also be used to increase reliability. In scenarios where status is being collected from every node (e.g. network management), one measure of reliability is the completeness (nodes included). Using some of the power savings from aggregation to increase the retransmission limit for aggregated data gives significant improvements in completeness. The contribution of this paper is in providing a detailed comparison of the completeness and energy efficiency for aggregated and nonaggregated data. Results, derived by numerical analysis and simulation, show that with data aggregation and increased retransmission limits, reliability can be substantially improved, while still saving power. These results are applicable to designing network management protocols for Wireless Sensor Networks, as well as for other scenarios where high completeness is required for network-wide data collection.
    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Copyright Notice "©2007 IEEE. Reprinted from Proceedings of the IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS 2007). Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4428743&isnumber=4428592
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 1319
    Depositing User: Stephen Brown
    Date Deposited: 31 Mar 2009 09:57
    Publisher: IEEE
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/1319
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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