Abstract
Generally, node groups in dense wireless networks (WNs) often pose the problem of communication between the central node and the rest of the nodes in a group. Adaptive Network Coded Cooperation (ANCC) for wireless central node networks adapts precisely to an extensive and dense WN, at this level the random linear network coding (RLNC) scheme with Low-Density Parity-Check (LDPC) are used as the essential ANCC evolution. This paper suggests two phases effective technique then studies the influence of the randomly chosen number of coded symbols which are correctly received in the second phase on bit error rate (BER). The proposed technique also focuses on the role of dispersion impact related to the LDPC code generating matrix. The results of the simulation allow selecting the best compromise for the best BER.
Highlights
The present paper analyzes a network coding scheme for dense wireless networks as in the case of the wireless sensor networks (WSNs) especially as regards the energy efficiency a cording to [1], [2], [3] or improvement planning at Bit-error rate (BER) as in [4]
The Network Coding (NC) scheme, which has been used as base of the development, is the ANCC (Adaptive Network Coded Cooperation) [6], [7], that adapts precisely to the extensive and the dense WSN and to the internet of things (IoT) networks [8]
A higher value of this parameter implies that the transmitted symbol includes information about a greater number of nodes, but a very high number may imply that the generator matrix stop being very scattered, increasing the probability of short cycles appearing
Summary
Dept. of Telecommunication and Computer Science Abdelmalek Essaadi University and SNRT Tetouan, Rabat, Morocco. Abstract—Generally, node groups in dense wireless networks (WNs) often pose the problem of communication between the central node and the rest of the nodes in a group. Adaptive Network Coded Cooperation (ANCC) for wireless central node networks adapts precisely to an extensive and dense WN, at this level the random linear network coding (RLNC) scheme with Low-Density Parity-Check (LDPC) are used as the essential ANCC evolution. This paper suggests two phases effective technique studies the influence of the randomly chosen number of coded symbols which are correctly received in the second phase on bit error rate (BER). The proposed technique focuses on the role of dispersion impact related to the LDPC code generating matrix. The results of the simulation allow selecting the best compromise for the best BER
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