Imperial College London

ProfessorJulieMcCann

Faculty of EngineeringDepartment of Computing

Professor of Computer Systems
 
 
 
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Contact

 

+44 (0)20 7594 8375j.mccann Website

 
 
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Location

 

258ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Yadav:2009:10.1109/WCSN.2009.5434808,
author = {Yadav, P and McCann, JA},
doi = {10.1109/WCSN.2009.5434808},
publisher = {IEEE},
title = {QoS based Event Delivery for Disaster Monitoring Applications},
url = {http://dx.doi.org/10.1109/WCSN.2009.5434808},
year = {2009}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - As Wireless Sensor Networks (WSN) become more technically mature we are observing more wide-spread deployment. Disaster Monitoring and Recovery is one area receiving recent attention in the field. Here, due to hostile terrains or dangerous settings, standard manual or wired detections are not feasible. In situ WSN have the potential to analyse conditions and make predictions regarding dangerous situations potentially saving lives. However, this situation brings many challenges for the WSN in terms of event detection and the subsequent relaying of that event notification to the devices/systems/people that require it. The latter is the focus of this paper. Given the general unreliability of WSNs, there is a demand for Quality of Service driven mechanisms that can ensure that event data is delivered reliably and in a timely as required by the application. To this end, we present a novel Priority-Based Random Re-routing protocol (PB-RRR). We evaluate our protocol using both analytical model and a 34 node proof-of-concept sensor deployment. We introduce three QoS levels that progressively improve high priority message throughput from best-effort to reliable event message delivery. We evaluate how congestion, proportions of priority event nodes/messages, and decision threshold affects message delay for each QoS level.
AU - Yadav,P
AU - McCann,JA
DO - 10.1109/WCSN.2009.5434808
PB - IEEE
PY - 2009///
TI - QoS based Event Delivery for Disaster Monitoring Applications
UR - http://dx.doi.org/10.1109/WCSN.2009.5434808
ER -