Quality aware opportunistic routing protocol with adaptive coordination scheme for wireless sensor networks

Mohd Ezanee Rusli, Richard Harris, Amal Punchihewa

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

For ad-hoc wireless sensor networks (WSN), multi-hop routing has been adopted in order to save communication power consumption and to increase network lifetimes. In contrast to traditional multi-hop routing, the Opportunistic Routing (OR) protocol provides an alternative and efficient method for exploiting the spatial and temporal characteristics of wireless networks. One of the more important aspects of the OR protocol is its ability to coordinate between potential relays from each node. In a delay-based coordination scheme, potential performance deficiencies especially with respect to end-to-end delays may occur. In this paper, we highlight an enhanced adaptive (E-adaptive) coordination mechanism for low power wireless sensor networks based on an improved opportunistic quality score first proposed in [1]. The ability to adapt the coordination procedure to variations in network connectivity is useful in satisfying quality of service (QoS) requirements for WSN applications using OR.

Original languageEnglish
Article number6338118
Pages (from-to)434-439
Number of pages6
JournalProceedings of International Conference on Computational Intelligence, Modelling and Simulation
DOIs
Publication statusPublished - 01 Dec 2012
Event4th International Conference on Computational Intelligence, Modelling and Simulation, CIMSim 2012 - Kuantan, Malaysia
Duration: 25 Sep 201227 Sep 2012

Fingerprint

Routing Protocol
Routing protocols
Wireless Sensor Networks
Wireless sensor networks
Routing
Multi-hop
Network Connectivity
End-to-end Delay
Network Lifetime
Relay
Power Consumption
Quality of Service
Wireless Networks
Wireless networks
Quality of service
Electric power utilization
Alternatives
Communication
Requirements
Vertex of a graph

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Applied Mathematics
  • Modelling and Simulation

Cite this

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