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CNDTSN: enhanced DTSN based on classified nodes

Published: 17 May 2019 Publication History

Abstract

In the time of Internet of Things, with the explosion of scalar data in wireless sensor network(WSN), single type of scalar data transmission can no longer fulfill the needs in various WSN situations. Due to the limitation of available resources on WSN devices, several transmit protocols are designed to effectively improve the channel utilization efficiency and reduce the end-to-end delay. When transmitting non-scalar data like pictures presented as arrays or matrixs, traditional protocol can barely handle this situation efficiently. In this paper, we propose CNDTSN, nodes in WSN are classified into two types, R nodes with strong storage capacity and s nodes mainly collecting the information. The result says that with cooperation, the effective throughput improves in the network and the overall delay is apparently decreased.

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    ACM TURC '19: Proceedings of the ACM Turing Celebration Conference - China
    May 2019
    963 pages
    ISBN:9781450371582
    DOI:10.1145/3321408
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 17 May 2019

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    Author Tags

    1. WSN
    2. cache
    3. classified-based
    4. data-transmission

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