TY - GEN
T1 - Capacity and BER analysis for Nakagami-n channel in LDPC coded wireless sensor network
AU - Islam, Mohammad Rakibul
AU - Kim, Jinsang
N1 - Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - Energy efficient transmission with fairly high capacity is an attractive feature for energy constraint wireless sensor network. This opens a door for the outage analysis keeping the energy efficient performance active. We propose to employ LDPC codes to provide reliable communication while saving power in the sensor networks. We derive the ergodic and outage capacity for a cluster head to DGN transmission through a Nakagami-n channel in a wireless sensor network. We also explore the BER analysis for the same channel for an LDPC coded transmission. We compared the ergodic and outage capacity over average SNR for different Nakagami channel parameter. We see that the ergodic as well as outage capacity increases as both SNR and Nakagami-n channel parameters increase. We also compare the outage capacity for different probability of outage. Nakagamin channel simulations are also compared with AWGN channel simulations. Simulation results show that with the proper choice of LDPC decoding, capacity achieving low power transmission is possible in wireless sensor network.
AB - Energy efficient transmission with fairly high capacity is an attractive feature for energy constraint wireless sensor network. This opens a door for the outage analysis keeping the energy efficient performance active. We propose to employ LDPC codes to provide reliable communication while saving power in the sensor networks. We derive the ergodic and outage capacity for a cluster head to DGN transmission through a Nakagami-n channel in a wireless sensor network. We also explore the BER analysis for the same channel for an LDPC coded transmission. We compared the ergodic and outage capacity over average SNR for different Nakagami channel parameter. We see that the ergodic as well as outage capacity increases as both SNR and Nakagami-n channel parameters increase. We also compare the outage capacity for different probability of outage. Nakagamin channel simulations are also compared with AWGN channel simulations. Simulation results show that with the proper choice of LDPC decoding, capacity achieving low power transmission is possible in wireless sensor network.
KW - BER
KW - Ergodic capacity
KW - Nakagami-n
KW - Outage capacity
KW - Wireless sensor network
UR - https://www.scopus.com/pages/publications/63149110831
U2 - 10.1109/ISSNIP.2008.4761981
DO - 10.1109/ISSNIP.2008.4761981
M3 - Conference contribution
AN - SCOPUS:63149110831
SN - 9781424429578
T3 - ISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
SP - 167
EP - 172
BT - ISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
T2 - 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
Y2 - 15 December 2008 through 18 December 2008
ER -