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Multi-channel Parallel Negotiation MAC Protocol Based on Geographic Location Information

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Data Science (ICPCSEE 2018)

Abstract

In the wireless sensor networks, the wireless resources are very limited. In the design of the MAC protocols, how to make full use of the limited channel resources to complete more data communications must be considered as much as possible. In this paper, in view of the shortcomings of the LPR-MAC protocol on conflict handing of multiple nodes in multiple channels, a multi-channel parallel negotiation MAC protocol based on geographic location information (LPRLI-MAC) is proposed, an improved neighbor table and a P-persistence algorithm are proposed. The node location information is added to the table. The P-persistence algorithm is carried out using the distance value to deal with the conflicting problem of multiple transmitters. Experiments show that the LPRLI-MAC protocol optimizes the calculation of the probability values in the P-persistence algorithm, reduces the probability of data collisions on a single channel at a certain time, optimizes the parallel negotiation strategy of multiple transmitters on multiple channels, reduces the probability of collisions between multiple parallel transmissions and improves the success rate of transmissions.

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Acknowledgement

This work was funded by the National Natural Science Foundation of China under Grant (No. 61772152 and No. 61502037), the Basic Research Project (No. JCKY2016206B001, JCKY2014206C002 and JCKY2017604C010), and the Technical Foundation Project (No. JSQB2017206C002).

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Correspondence to Hongbin Wang .

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Wang, J., Wang, H., Zhan, H., Dang, R., Bai, Y. (2018). Multi-channel Parallel Negotiation MAC Protocol Based on Geographic Location Information. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_47

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  • DOI: https://doi.org/10.1007/978-981-13-2203-7_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2202-0

  • Online ISBN: 978-981-13-2203-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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