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New QoS and geographical routing in wireless biomedical sensor networks

Djenouri, Djamel; Balasingham, Ilangko

Authors

Ilangko Balasingham



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 traffic diversity of these applications and ensures a differentiation routing using QoS metrics. It is based on modular and scalable approach, where the protocol operates in a distributed, localized, computation and memory efficient way. The data traffic is classified into several categories according to the required QoS metrics, where different routing metrics and techniques are accordingly suggested for each category. The protocol attempts for each packet to fulfill the required QoS metrics in a power-aware way, by locally selecting the best candidate. It employs memory and computation efficient estimators, and uses a multi-sink single-path approach to increase reliability. The main contribution of this paper is data traffic based QoS with regard to all the considered QoS metrics. To our best knowledge, this protocol is the first that makes use of the diversity in the data traffic while considering latency, reliability, residual energy in the sensor nodes, and transmission power between sensor nodes as QoS metrics of the multi-objective problem. The proposed algorithm can operate with any MA C 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.

Citation

Djenouri, D., & Balasingham, I. (2009). New QoS and geographical routing in wireless biomedical sensor networks. https://doi.org/10.4108/icst.broadnets2009.7188

Conference Name 6th International ICST Conference on Broadband Communications, Networks, and Systems
Conference Location Madrid, Spain
Start Date Sep 14, 2009
End Date Sep 16, 2009
Publication Date Nov 17, 2009
Deposit Date Feb 27, 2020
ISBN 9789639799493
DOI https://doi.org/10.4108/icst.broadnets2009.7188
Public URL https://uwe-repository.worktribe.com/output/5560344