TY - GEN
T1 - Optimization of a modular ad hoc land wireless system via distributed joint source-network coding for correlated sensors
AU - Chaal, Dina
AU - Chahboun, Asaad
AU - Lehmann, Frédéric
AU - Lyhyaoui, Abdelouahid
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper outlines a proposition of a framework optimizing the communication scheme from the physical part of the transmitters to the data gathered at the receiver in a wireless sensor network. We propose a coding scheme able to take into account the correlation between measurements obtained by the sensors. This scheme consists of joint distributed source encoding and linear network coding. Several coding strategies are compared. (1) linear source coding, based on the low density generator matrix (LDGM) codes, where the compression process is performed by every sensor independently (2) distributed source coding, where the correlation between sources is taken into account, without cooperation between sensors. The compression ratios costs are evaluated analytically for each strategy, with respect to the communication costs between the nodes of the network. The results show a significant improvement in terms of compression rate and distortion compared to linear source encoding.
AB - This paper outlines a proposition of a framework optimizing the communication scheme from the physical part of the transmitters to the data gathered at the receiver in a wireless sensor network. We propose a coding scheme able to take into account the correlation between measurements obtained by the sensors. This scheme consists of joint distributed source encoding and linear network coding. Several coding strategies are compared. (1) linear source coding, based on the low density generator matrix (LDGM) codes, where the compression process is performed by every sensor independently (2) distributed source coding, where the correlation between sources is taken into account, without cooperation between sensors. The compression ratios costs are evaluated analytically for each strategy, with respect to the communication costs between the nodes of the network. The results show a significant improvement in terms of compression rate and distortion compared to linear source encoding.
KW - Distributed coding
KW - Lossless compression
KW - Modular ad-hoc networks
KW - Random linear network coding (RLNC)
KW - Source and network coding
KW - Wireless sensor networks
U2 - 10.1007/978-3-319-67910-5_14
DO - 10.1007/978-3-319-67910-5_14
M3 - Conference contribution
AN - SCOPUS:85030180377
SN - 9783319679099
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 171
EP - 183
BT - Ad-hoc, Mobile, and Wireless Networks - 16th International Conference on Ad Hoc Networks and Wireless, ADHOC-NOW 2017, Proceedings
A2 - Distefano, Salvatore
A2 - Puliafito, Antonio
A2 - Bruneo, Dario
A2 - Distefano, Salvatore
A2 - Longo, Francesco
PB - Springer Verlag
T2 - 16th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2017
Y2 - 20 September 2017 through 22 September 2017
ER -