Fast Power-Efficient Techniques for Collision Detection in Wireless Sensor Networks
Author URLs
Document Type
Book Chapter
Publication Date
2015
Subject: LCSH
Wireless sensor networks
Disciplines
Computer Engineering | Computer Sciences | Electrical and Computer Engineering
Abstract
Recently a lot of research effort has been focused on Wireless Sensor Networks (WSNs) due to its various applications. Over the last few years, several techniques have been proposed for investigating the power consumption which represents one of the most challenges and main concerns in designing WSNs. Power consumption of nodes in WSNs has a great effect on the lifetime of network nodes which are difficult to replace or recharge their batteries. In this context, this paper represents a receiver approach for alleviating power consumption of WSNs. Unlike other power consumption techniques, instead of decoding every received signal at the receiver which consume too much power our approach studies the histograms of sensors’ transmitted signals to detect collisions, so the receiver can determine when the transmitted signals can be decoded without wasting precious power decoding transmitted signals suffering from collisions. We also present a complexity and power-saving comparison between our novel approach and a conventional full-decoding algorithm in order to demonstrate the significant power and complexity saving advantage of our approach.
DOI
10.1007/978-94-017-9804-4_36
Repository Citation
Alassery, Fawaz; Ahmed, Walid; and Sarraf, Mohsen, "Fast Power-Efficient Techniques for Collision Detection in Wireless Sensor Networks" (2015). Electrical & Computer Engineering and Computer Science Faculty Publications. 51.
https://digitalcommons.newhaven.edu/electricalcomputerengineering-facpubs/51
Publisher Citation
Alassery, F., Ahmed, W., Sarraf, M., Lawrence, V. (2015). Fast Power-Efficient Techniques for Collision Detection in Wireless Sensor Networks. Transactions on Engineering Technologies (pp. 515–529). Dordrecht: Springer Netherlands. ISBN: 978-94-017-9803-7
Comments
Buy the book or chapter
Find the book in a library