Paper Info
Title
Minimum energy coding for wireless nanosensor networks
Abstract
Wireless nanosensor networks (WNSNs), which are collections of nanosensors with communication units, can be used for sensing and data collection with extremely high resolution and low power consumption for various applications. In order to realize WNSNs, it is essential to develop energy-efficient communication techniques, since nanonodes are severely energy-constrained. In this paper, a novel minimum energy coding scheme (MEC) is proposed to achieve energy-efficiency in WNSNs. Unlike the existing minimum energy codes, MEC maintains the desired Hamming distance, while minimizing energy, in order to provide reliability. It is analytically shown that, with MEC, codewords can be decoded perfectly for large code distance, if source set cardinality, M is less than inverse of symbol error probability, 1/ps. Performance analysis shows that MEC outperforms popular codes such as Hamming, Reed-Solomon and Golay in average energy per codeword sense.
Year
DOI
Venue
2012
10.1109/INFCOM.2012.6195709
Orlando, FL
Keywords
Field
DocType
Hamming codes,decoding,error statistics,nanosensors,telecommunication network reliability,wireless sensor networks,Golay codes,Hamming codes,Hamming distance,Reed-Solomon codes,WNSN,code distance,codeword decoding,data collection,energy-efficient communication techniques,minimum-energy coding scheme,nanonodes,network reliability,symbol error probability,wireless nanosensor networks
Hamming code,Wireless,Computer science,Computer network,Cardinality,Algorithm,Theoretical computer science,Hamming distance,Code word,Decoding methods,Binary Golay code,Wireless sensor network
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4673-0773-4
7
PageRank 
References 
Authors
0.74
4
2
Name
Order
Citations
PageRank
Murat Kocaoglu16110.70
Özgür B. Akan254045.91