Practical opportunistic data collection in wireless sensor networks with mobile sinks

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Title: Practical opportunistic data collection in wireless sensor networks with mobile sinks
Authors: Yang, S
Adeel, U
Tahir, Y
McCann, JA
Item Type: Journal Article
Abstract: Wireless Sensor Networks with Mobile Sinks (WSN-MSs) are considered a viable alternative to the heavy cost of deployment of traditional wireless sensing infrastructures at scale. However, current state-of-the-art approaches perform poorly in practice due to their requirement of mobility prediction and specific assumptions on network topology. In this paper, we focus on lowdelay and high-throughput opportunistic data collection in WSN-MSs with general network topologies and arbitrary numbers of mobile sinks. We first propose a novel routing metric, Contact-Aware ETX (CA-ETX), to estimate the packet transmission delay caused by both packet retransmissions and intermittent connectivity. By implementing CA-ETX in the defacto TinyOS routing standard CTP and the IETF IPv6 routing protocol RPL, we demonstrate that CA-ETX can work seamlessly with ETX. This means that current ETXbased routing 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 Backpressure Collection (OBC). Both CA-ETX and OBC are lightweight, easy to implement, and require no mobility prediction. Through test-bed experiments and extensive simulations, we show that the proposed schemes significantly outperform current approaches in terms of packet transmission delay, communication overhead, storage overheads, reliability, and scalability.
Issue Date: 28-Jul-2016
Date of Acceptance: 18-Jul-2016
ISSN: 1558-0660
Publisher: IEEE
Start Page: 1420
End Page: 1433
Journal / Book Title: IEEE Transactions on Mobile Computing
Volume: 16
Issue: 5
Copyright Statement: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
Sponsor/Funder: Intel Corporation (UK) Ltd
Intel Corporation
Funder's Grant Number: PO #3000922346
Keywords: Science & Technology
Computer Science, Information Systems
Computer Science
Opportunistic networks
sensor data collection
delay tolerant sensing
queueing networks
0805 Distributed Computing
1005 Communications Technologies
0906 Electrical And Electronic Engineering
Networking & Telecommunications
Publication Status: Published
Appears in Collections:Faculty of Engineering

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