Cart (Loading....) | Create Account
Close category search window
 

Continuous Data Collection Capacity of Wireless Sensor Networks under Physical Interference Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shouling Ji ; Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA ; Beyah, R. ; Yingshu Li

Data collection is a common operation of Wireless Sensor Networks (WSNs). The performance of data collection can be measured by its achievable network capacity. However, most existing works focus on the network capacity of unicast, multicast or/and broadcast, which are different communication modes from data collection, especially continuous data collection. In this paper, we study the Snapshot/Continuous Data Collection (SDC/CDC) problem under the Physical Interference Model (PhIM) for randomly deployed dense WSNs. For SDC, we propose a Cell-Based Path Scheduling (CBPS) algorithm based on network partitioning. Theoretical analysis shows that its achievable network capacity is Ω(W) (W is the data transmitting rate, i.e. bandwidth, over a channel), which is order-optimal. For CDC, we propose a novel Segment-Based Pipeline Scheduling (SBPS) algorithm that significantly speeds up the CDC process, and achieves a surprising network capacity, which is at least √(n/ log n) or n/log n times better than the current best result.

Published in:

Mobile Adhoc and Sensor Systems (MASS), 2011 IEEE 8th International Conference on

Date of Conference:

17-22 Oct. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.