Title :
Energy level performance of multi hop CDMA wireless sensor network with error control
Author :
Datta, Uma ; Kundu, Sandipan
Author_Institution :
Dept. of Electron. & Instrum., Central Mech. Eng. Res. Inst., Durgapur, India
Abstract :
Energy level performance of a multi hop CDMA wireless sensor networks is analyzed incorporating two popular error control schemes. Decoding is considered only at the sink which has enough power to run the complex decoding algorithms. In one case we consider a simple end-to-end ARQ, while the other case is based on hybrid ARQ type I (HARQ-I) using BCH code. The performance of the network is assessed in terms of energy consumption, and energy efficiency involved in successful transmission of a packet from source to sink via a number of hops. Two kinds of interference namely multiple access interference (MAI) and node interference (NI) are considered. The effects of several network parameters such as node density, packet length, error correcting capability on packet error rate (PER), energy consumption, and energy efficiency for successful reception of a packet at sink are investigated and compared for different error control strategies. Performance of the network system using hop by hop ARQ mechanism, where decoding is performed at every node, is also compared with the proposed schemes.
Keywords :
BCH codes; automatic repeat request; code division multiple access; decoding; error correction codes; wireless sensor networks; BCH code; HARQ-I; automatic repeat request; code division multiple access; decoding algorithms; end-to-end ARQ; energy consumption; energy efficiency; energy level performance of; error control schemes; error correcting capability; hybrid ARQ type I; multi hop CDMA wireless sensor network; multiple access interference; node density; node interference; packet error rate; packet length; Automatic repeat request; Energy consumption; Energy efficiency; Error correction; Interference; Multiaccess communication; Wireless sensor networks; ARQ; BCH coding; HARQ; Wireless Sensor Network;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2012 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-2192-1
DOI :
10.1109/ICSPCC.2012.6335583