An Efficient Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks

doi:10.13190/jbupt.201301.91.yangkw

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2013, Vol. 36 ›› Issue (1): 91-95.doi: 10.13190/jbupt.201301.91.yangkw

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An Efficient Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks

YANG Kui-wu¹, GUO Yuan-bo¹, ZHENG Kang-feng², YANG Yi-xian², ZHANG Dong-mei²

1. China National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450004, China;<br>2. Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2012-07-18 Revised:2012-09-11 Online:2013-02-28 Published:2013-01-19
Contact: Kui-Wu YANG E-mail:yangkuiwu@yahoo.com.cn

Abstract

Abstract:

A Netcoding-based Efficient Broadcast Transmission scheme (NEBT) is proposed for Delay Tolerant Mobile Sensor Network (DTMSN). In NEBT, the original data packages are coded and batched transmitted by Base Station (BS) and sensor nodes that have all the original data. Because the packages are encoded, the correlation of data between sensor nodes is low which is helpful in reducing the delay of broadcasting. At the same time, sensor nodes can compute their own broadcasting gains and detect the moving trends to their neighbors based on their signal strength. Based on the moving trends between nodes, sensor nodes can decide the time to transmit their packages, which can decrease the cost of broadcasting. Simulation results show that the proposed NEBT scheme has lower broadcast delay and broadcasting overhead than NBT, Flood et al.

Key words: delay tolerant mobile sensor networks, network coding, broadcast, random motive model

CLC Number:

TP393

YANG Kui-wu, GUO Yuan-bo, ZHENG Kang-feng, YANG Yi-xian, ZHANG Dong-mei. An Efficient Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2013, 36(1): 91-95.

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An Efficient Broadcast Transmission Scheme for Delay Tolerant Mobile Sensor Networks

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