DocumentCode :
162231
Title :
A novel collision detection scheme for Wireless Sensor Networks using received signal dynamic range statistics
Author :
Alassery, Fawaz ; Ahmed, Walid K. M. ; Sarraf, Mohsen ; Lawrence, V.
Author_Institution :
Stevens Tech, USA
fYear :
2014
fDate :
9-10 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
Wireless Sensor Networks (WSNs) have a limited power source which is a small battery installed in each node. The main concern in designing WSNs is how to extend the lifetime of network nodes. Power consumption in WSNs has been investigated in a lot of research. In this paper we propose a novel power saving algorithm which has a low computational complexity in comparison with existing coding/decoding schemes. Instead of decoding every received signal our proposed algorithm avoid the high computational complexity via analyzing the sanity of the received packet. So, the receiver can detect collisions and determine when the transmitted signals need to be decoded. Our proposed algorithm achieves a significant power saving due to avoid decoding of transmitted signals which involve in collisions. Based on two proposed algorithm metrics, thresholds, modulation schemes and different scenarios, we use MATALB to show performance gains of our proposed algorithm.
Keywords :
computational complexity; decoding; power consumption; radio receivers; wireless sensor networks; MATALB; WSN; coding-decoding schemes; collision detection scheme; computational complexity; decoding; modulation schemes; power saving; power saving algorithm; received signal dynamic range statistics; transmitted signals; wireless sensor networks; Decoding; Measurement; Modulation; Receivers; Sensors; Signal to noise ratio; Wireless sensor networks; Low Computational Complexity; Packets Collision; Power Consumption; WSN Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Optical Communication Conference (WOCC), 2014 23rd
Conference_Location :
Newark, NJ
Type :
conf
DOI :
10.1109/WOCC.2014.6839946
Filename :
6839946
Link To Document :
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