A NetCoding-based Delay-sensitive Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks

Yang  Kui-Wu; Guo  Yuan-Bo; Ma  Jun; Zheng  Kang-Feng

doi:10.3724/SP.J.1146.2011.00977

Volume 34 Issue 5

Jun. 2012

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Han Minghua, Yuan Naichang. A IMPROVED TRACKING KALMAN FILTER USING MULTILAYER NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(6): 739-744.

Citation:

Yang Kui-Wu, Guo Yuan-Bo, Ma Jun, Zheng Kang-Feng. A NetCoding-based Delay-sensitive Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks[J]. Journal of Electronics & Information Technology, 2012, 34(5): 1239-1245. doi: 10.3724/SP.J.1146.2011.00977

Han Minghua, Yuan Naichang. A IMPROVED TRACKING KALMAN FILTER USING MULTILAYER NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1998, 20(6): 739-744.

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A NetCoding-based Delay-sensitive Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks

doi: 10.3724/SP.J.1146.2011.00977

Received Date: 2011-09-19
Rev Recd Date: 2011-12-12
Publish Date: 2012-05-19

Abstract

Abstract

A Netcoding-based delay-sensitive Broadcast Transmission scheme (NBT) is proposed for Delay Tolerant Mobile Sensor Network (DTMSN). In NBT, the data are batched transmitting from Base Station (BS) and each batch contains finite number of original packets. BS encodes the original packets of one batch with uncorrelated vectors and unicasts them to the different sensor nodes in its coverage, and the sensor nodes exchange encoded packets with each other in flooding mechanism. Because of the packets are encoded, the probability that sensor nodes have the same packets is low and the correlation of data between sensor nodes is reduced too. Simulation results show that the proposed NBT scheme has lower broadcast delay than flooding scheme with the same communication cost under Random WayPoint (RWP) model.
- Delay Tolerant Mobile Sensor Networks (DTMSN),
- Network coding,
- Broadcast,
- Random motive model

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