|
Sensors & Transducers Journal (ISSN 1726- 5479) |
|
|
Vol. 23, Special Issue, July 2013, pp. 75-80
An Improved Location Algorithm for DV-HOP Based on Trusty Degree Average Hop Distance in Wireless Sensor NetworksZhang Ming
College of Electronic Engineering, Huaihai Institute of Technology, Jiangsu, 222005, China
Received: 15 April 2013 /Accepted: 19 July 2013 /Published: 30 July 2013 |
Abstract: Location awareness is an attractive research issue in the wireless sensor networks (WSN) because sensor nodes are randomly scattered over a region and can get connected into a network on their own. However, precise location information may be unavailable due to the constraint in energy, computation, or terrain. In this paper, an improved DV-HOP location algorithm based on trusty degree average hop distance for wireless sensor networks was proposed. Using the trusty degree to select the average hop distance for each anchor node and calculate the average hop distance of the whole network, then use dynamic correction error scheme to correct the error. Simulation experiments are conducted to compare the traditional DV-HOP algorithm, improved DV-HOP algorithm and our scheme, the simulation results show that the proposed methods has better performance on average location error based on the different communication radius for irregular network.
Keywords: Wireless sensor networks (WSN), DV-HOP, Trusty degree, Average hop distance, Location.
Click <here> or title of paper to download the full pages article in pdf format
Download <here> the Library Journal Recommendation Form
Read more about Wireless Sensor Networks
|
1999 - 2018 Copyright ©, International Frequency Sensor Association (IFSA). All Rights Reserved.
Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search
Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn