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.