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6th International ICST Conference on Broadband Communications, Networks, and Systems

Research Article

New QoS and Geographical Routing in Wireless Biomedical Sensor Networks

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  • @INPROCEEDINGS{10.4108/ICST.BROADNETS2009.7188,
        author={Djamel Djenouri and Ilangko Balasingham},
        title={New QoS and Geographical Routing in Wireless Biomedical Sensor Networks},
        proceedings={6th International ICST Conference on Broadband Communications, Networks, and Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2009},
        month={11},
        keywords={Biomedical computing Biosensors Delay Distributed computing Media Access Protocol Quality of service Routing protocols Telecommunication traffic Traffic control Wireless sensor networks},
        doi={10.4108/ICST.BROADNETS2009.7188}
    }
    
  • Djamel Djenouri
    Ilangko Balasingham
    Year: 2009
    New QoS and Geographical Routing in Wireless Biomedical Sensor Networks
    BROADNETS
    IEEE
    DOI: 10.4108/ICST.BROADNETS2009.7188
Djamel Djenouri1,*, Ilangko Balasingham2,*
  • 1: Department of Electronics and Telecommunications, NTNU, Trondheim, Norway
  • 2: Interventional Center, Rikshospitalet University Hospital, Oslo, Norway
*Contact email: djamel.djenouri@iet.ntnu.no, ilangko.balasingham@medisin.uio.no

Abstract

In this paper we deal with biomedical applications of wireless sensor networks, and propose a new quality of service (QoS) routing protocol. The protocol design relies on tra±c diversity of these applications and en- sures a di®erentiation routing using QoS metrics. It is based on modular and scalable approach, where the pro- tocol operates in a distributed, localized, computation and memory e±cient way. The data tra±c is classi¯ed into several categories according to the required QoS metrics, where di®erent routing metrics and techniques are accordingly suggested for each category. The proto- col attempts for each packet to ful¯ll the required QoS metrics in a power-aware way, by locally selecting the best candidate. It employs memory and computation e±cient estimators, and uses a multi-sink single-path approach to increase reliability. The main contribution of this paper is data tra±c based QoS with regard to all the considered QoS metrics. To our best knowledge, this protocol is the ¯rst that makes use of the diver- sity in the data tra±c while considering latency, relia- bility, residual energy in the sensor nodes, and trans- mission power between sensor nodes as QoS metrics of the multi-objective problem. The proposed algorithm can operate with any MAC protocol, provided that it employs an ACK mechanism. Performance evaluation through a simulation study, comparing the new protocol with state-of-the QoS and localized protocols, show that it outperforms all the compared protocols.

Keywords
Biomedical computing Biosensors Delay Distributed computing Media Access Protocol Quality of service Routing protocols Telecommunication traffic Traffic control Wireless sensor networks
Published
2009-11-17
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.4108/ICST.BROADNETS2009.7188
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