Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/812
Title: Highly scalable and efficient publish/subscribe protocols using geographic information for wireless sensor networks
Authors: Zheng, Y
Cao, J 
Keywords: Hybrid sensors
Intelligent control
Network protocols
Routing protocols
Scalability
Sensor networks
Sensors
Smart sensors
Wireless sensor networks
Wireless telecommunication systems
Issue Date: 2007
Publisher: IEEE
Source: ISSNIP 2007 : 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing : 3-6 December 2007, Melbourne, Australia, p. 503-508 How to cite?
Abstract: Publish/Subscribe (Pub/Sub) systems have been used in traditional distributed computing applications to provide effective and efficient event services. Recently, the design of Pub/Sub systems are proposed for wireless sensor networks (WSNs). Some of the proposed Pub/Sub protocols address the issue of establishing event delivery path with low routing cost by using geographic information. However, they have not considered how to reduce redundant event delivery, which may cause high resource consumption and poor system scalability. In this paper, we propose protocols which address both issues. More specifically, our protocols use geographic information to save routing cost, and meanwhile reduce redundant event delivery by letting the subscribers share the event delivery paths. Three highly scalable and efficient Pub/Sub protocols for WSNs, namely Shortest Delivery Path (SDP), Shortest Delivery Path with Lower Delivery Overhead (SDP-LDO), and Lowest Delivery Overhead (LDO), are designed to achieve different performance goals. The results of theoretical and experimental evaluation show that the proposed protocols can significant improve the resource efficiency and scalability of a Pub/Sub system compared to the previous solutions. Our protocols can also be used to achieve a good tradeoff between the costs of event subscribing and event delivery.
URI: http://hdl.handle.net/10397/812
ISBN: 1424415020
DOI: 10.1109/ISSNIP.2007.4496894
Rights: © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
publish-subscribe_07.pdf283.86 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Jun 3, 2016

Page view(s)

301
Last Week
0
Last month
Checked on Dec 4, 2016

Download(s)

554
Checked on Dec 4, 2016

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.