Title :
Capacity and BER analysis for Nakagami-n channel in LDPC coded wireless sensor network
Author :
Islam, Mohammad Rakibul ; Kim, Jinsang
Author_Institution :
Dept. of Electron. & Radio Eng., Kyung Hee Univ., Yongin
Abstract :
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. Nakagami-n 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.
Keywords :
AWGN channels; Nakagami channels; channel coding; error statistics; parity check codes; telecommunication network reliability; wireless sensor networks; AWGN channel simulations; BER analysis; DGN transmission; LDPC coded wireless sensor network; Nakagami-n channel; bit error rate; communication reliability; data gathering node; energy constraint wireless sensor network; energy efficient transmission; ergodic capacity; low density parity check codes; outage capacity; AWGN channels; Bit error rate; Capacity planning; Decoding; Energy efficiency; Parity check codes; Performance analysis; Power transmission; Telecommunication network reliability; Wireless sensor networks; BER; Nakagami-n; ergodic capacity; outage capacity; wireless sensor network;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-3822-8
Electronic_ISBN :
978-1-4244-2957-8
DOI :
10.1109/ISSNIP.2008.4761981