Network Coding Based Multiple-Hop Efficient Transmission Method for Multiple-User Multiple-Relay Networks

2014 ◽  
Vol 998-999 ◽  
pp. 1161-1164
Author(s):  
Gui Mei Chen ◽  
Zhong Gui Ma ◽  
Sha Ban ◽  
Narwani Kamleshd
Keyword(s):  
Network Coding ◽  
Channel Coding ◽  
Relay Networks ◽  
Packet Error Rate ◽  
Linear Network ◽  
Transmission Method ◽  
Linear Network Coding ◽  
Multiple User ◽  
Multiple Relay ◽  
Network Channel

A transmission method , combining both the bit error diversity and joint network-channel coding, was proposed for multiple-user multiple-hop multiple-relay networks. In the poposed method, an interleaver was designed for the bit error diversity and a novel protocol was devised for random linear network coding. The proposed method as well as other two methods—Method I without channel code and protection and Method II only with protection, was analyzed by deriving performance expressions in terms of packet error rate (PER) and throughput. Moreover, simulations further prove the superiority of the proposed method. Numerical results show that the proposed method gains an improvement in PER compared with Method I & II and keeps highest throughput within certain range of SNR.

scholarly journals NB-JNCD Coding and Iterative Joint Decoding Scheme for a Reliable communication in Wireless sensor Networks with results

2013 ◽  
pp. 81-89
Author(s):  
Kishore kumar R ◽  
S Nayana
Keyword(s):  
Wireless Networks ◽  
Network Coding ◽  
Channel Coding ◽  
Error Recovery ◽  
Linear Network ◽  
Reliable Communication ◽  
Multicast Networks ◽  
Linear Network Coding ◽  
Random Linear Network Coding ◽  
Network Channel

Privacy threat is a very serious issue in multi-hop wireless networks (MWNs) since open wireless channels are vulnerable to malicious attacks. A distributed random linear network coding approach for transmission and compression of information in general multisource multicast networks. Network nodes independently and randomly select linear mappings from inputs onto output links over some field. Network coding has the potential to thwart traffic analysis attacks since the coding/mixing operation is encouraged at intermediate nodes. However, the simple deployment of network coding cannot achieve the goal once enough packets are collected by the adversaries. This paper proposes non-binary joint network-channel coding for reliable communication in wireless networks. NB-JNCC seamlessly combines non-binary channel coding and random linear network coding, and uses an iterative two-tier coding scheme that we proposed to jointly exploit redundancy inside packets and across packets for error recovery.

scholarly journals A Design of Overlapped Chunked Code over Compute-and-Forward for Multi-Source Multi-Relay Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3225
Author(s):  
Rithea Ngeth ◽  
Brian Kurkoski ◽  
Yuto Lim ◽  
Yasuo Tan
Keyword(s):  
Probability Distribution ◽  
Network Coding ◽  
Probability Distributions ◽  
Relay Networks ◽  
Linear Network ◽  
Lattice Codes ◽  
Linear Network Coding ◽  
Chunk Size ◽  
Chunked Codes ◽  
Participation Factor

This paper investigates the design of overlapped chunked codes (OCC) for multi-source multi-relay networks where a physical-layer network coding approach, compute-and-forward (CF) based on nested lattice codes (NLC), is applied for the simultaneous transmissions from the sources to the relays. This code is called OCC/CF. In this paper, OCC is applied before NLC before transmitting for each source. Random linear network coding is applied within each chunk. A decodability condition to design OCC/CF is provided. In addition, an OCC with a contiguously overlapping, but non-rounded-end fashion is employed for the design, which is done by using the probability distributions of the number of innovative codeword combinations and the probability distribution of the participation factor of each source to the codeword combinations received for a chunk transmission. An estimation is done to select an allocation, i.e., the number of innovative blocks per chunk and the number of blocks taken from the previous chunk for all sources, that is expected to provide the desired performance. From the numerical results, the design overhead of OCC/CF is low when the probability distribution of the participation factor of each source is dense at the chunk size for each source.

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