Dynamic sensing optimization strategy for mobile nodes deployment in wireless sensor networks

Sheng Wang; Xue Wang; Junjie Ma

doi:10.1117/12.717495

6 November 2006 Dynamic sensing optimization strategy for mobile nodes deployment in wireless sensor networks

Sheng Wang, Xue Wang, Junjie Ma

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63574W (2006) https://doi.org/10.1117/12.717495
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

Sensor nodes deployment problem is one of the fundamental issues in wireless sensor networks (WSNs) which should consider a tradeoff among several metrics, such as coverage area, reliability, accuracy, lifetime etc. The mobile sensor nodes which can relocate themselves can be used to optimize the nodes deployment under various kinds of situations. Because coverage area is hard to be calculated by analytical method, an areas division method is introduced to evaluate the coverage area metric for simplifying calculation. Then we introduce a practically feasible combined metric which refers to coverage area, reliability, accuracy and lifetime, which uses areas division, detecting reliability, Mahalanobis distance and energy entropy as metric functions. Here, nodes deployment is considered as an optimization problem. Particle swarm optimization (PSO) algorithm, which has a series of advantages, such as, high-speed regional convergence, efficient global searching ability, and so on, is suitable for solving multi-dimension function optimization in continuous space. So we adopt PSO for nodes deployment optimization where the combined metric is considered as fitness function. Because the combined metric is multiform and changeable in PSO, we can adopt different combined metrics for different applications, while other strategies just consider the coverage area in nodes deployment. The experimental results verify that the PSO based mobile nodes deployment strategy has good performance in quickness, which can improve the capabilities of WSNs and dynamically adjust the deployment according to the changes of situation, especially when some areas need multiple-node-measurement.

Citation Download Citation

Sheng Wang, Xue Wang, and Junjie Ma "Dynamic sensing optimization strategy for mobile nodes deployment in wireless sensor networks", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63574W (6 November 2006); https://doi.org/10.1117/12.717495

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Sensor networks

Particle swarm optimization

Reliability

Particles

Mahalanobis distance

Failure analysis

Show All Keywords

Keywords/Phrases

Search In:

Publication Years