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

@article{Yang:2016:10.1109/TMC.2016.2595574,
author = {Yang, S and Adeel, U and Tahir, Y and McCann, JA},
doi = {10.1109/TMC.2016.2595574},
journal = {IEEE Transactions on Mobile Computing},
pages = {1420--1433},
title = {Practical opportunistic data collection in wireless sensor networks with mobile sinks},
url = {http://dx.doi.org/10.1109/TMC.2016.2595574},
volume = {16},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Wireless Sensor Networks with Mobile Sinks (WSN-MSs) are considered a viable alternative to the heavy cost ofdeployment of traditional wireless sensing infrastructures at scale. However, current state-of-the-art approaches perform poorly inpractice due to their requirement of mobility prediction and specific assumptions on network topology. In this paper, we focus on lowdelayand high-throughput opportunistic data collection in WSN-MSs with general network topologies and arbitrary numbers of mobilesinks. We first propose a novel routing metric, Contact-Aware ETX (CA-ETX), to estimate the packet transmission delay caused byboth packet retransmissions and intermittent connectivity. By implementing CA-ETX in the defacto TinyOS routing standard CTP andthe IETF IPv6 routing protocol RPL, we demonstrate that CA-ETX can work seamlessly with ETX. This means that current ETXbasedrouting protocols for static WSNs can be easily extended to WSN-MSs with minimal modification by using CA-ETX. Further,by combing CA-ETX with the dynamic backpressure routing, we present a throughput-optimal scheme Opportunistic BackpressureCollection (OBC). Both CA-ETX and OBC are lightweight, easy to implement, and require no mobility prediction. Through test-bedexperiments and extensive simulations, we show that the proposed schemes significantly outperform current approaches in terms ofpacket transmission delay, communication overhead, storage overheads, reliability, and scalability.
AU - Yang,S
AU - Adeel,U
AU - Tahir,Y
AU - McCann,JA
DO - 10.1109/TMC.2016.2595574
EP - 1433
PY - 2016///
SN - 1558-0660
SP - 1420
TI - Practical opportunistic data collection in wireless sensor networks with mobile sinks
T2 - IEEE Transactions on Mobile Computing
UR - http://dx.doi.org/10.1109/TMC.2016.2595574
UR - http://hdl.handle.net/10044/1/36944
VL - 16
ER -