Traffic-differentiation-based modular QoS localized routing for wireless sensor networks

Djenouri, Djamel; Balasingham, Ilangko

Abstract

A new localized quality of service (QoS) routing protocol for wireless sensor networks (WSN) is proposed in this paper. The proposed protocol targets WSN's applications having different types of data traffic. It is based on differentiating QoS requirements according to the data type, which enables to provide several and customized QoS metrics for each traffic category. With each packet, the protocol attempts to fulfill the required data-related QoS metric(s) while considering power efficiency. It is modular and uses geographical information, which eliminates the need of propagating routing information. For link quality estimation, the protocol employs distributed, memory and computation efficient mechanisms. It uses a multisink single-path approach to increase reliability. To our knowledge, this protocol is the first that makes use of the diversity in data traffic while considering latency, reliability, residual energy in sensor nodes, and transmission power between nodes to cast QoS metrics as a multiobjective problem. The proposed protocol can operate with any medium access control (MAC) protocol, provided that it employs an acknowledgment (ACK) mechanism. Extensive simulation study with scenarios of 900 nodes shows the proposed protocol outperforms all comparable state-of-the-art QoS and localized routing protocols. Moreover, the protocol has been implemented on sensor motes and tested in a sensor network testbed.

Citation

Djenouri, D., & Balasingham, I. (2011). Traffic-differentiation-based modular QoS localized routing for wireless sensor networks. IEEE Transactions on Mobile Computing, 10(6), 797-809. https://doi.org/10.1109/tmc.2010.212

• Journal Article Type: Article
• Acceptance Date: Aug 12, 2010
• Online Publication Date: Oct 28, 2010
• Publication Date: Jun 1, 2011
• Deposit Date: Jan 21, 2020
• Publicly Available Date: Jan 23, 2020
• Journal: IEEE Transactions on Mobile Computing
• Print ISSN: 1536-1233
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 6
• Pages: 797-809
• DOI: https://doi.org/10.1109/tmc.2010.212
• Public URL: https://uwe-repository.worktribe.com/output/5199745
• Publisher URL: https://ieeexplore.ieee.org/document/5620921