NDLI: Low-latency energy-balanced data collection in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Xingmiao You Pingping Xu Wenxiang Zhu
Copyright Year	2014
Description	Author affiliation: Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China (Xingmiao You; Pingping Xu; Wenxiang Zhu)
Abstract	Wireless sensor networks monitor specific areas through periodical data collecting mechanism, where sensor nodes sense information and forward data to Sink via multi-hop wireless communications. Since the timeliness of collecting data is of great importance to many applications, a low-latency data collection network structure (LDCNS) which minimizes delays in a data collection process is proposed in this paper. The LDCNS organizes sensor nodes into multiple multi-layered clusters. The size and structure of each cluster follow certain rules so that each cluster head can transmit data to Sink over a period of time which does not overlap with each other and these time periods are continuous. In the data collection process, there has always been a cluster head to transmit data to Sink. An energy-balanced algorithm (ENSF) is designed to construct the LDCNS, which considers the distances between nodes and Sink for choosing the cluster heads. Simulation results show that the LDCNS-ENSF scheme can shorten the duration of a data collection process and prolong the network lifetime when compared with other existing collection structures.
Starting Page	1
Ending Page	6
File Size	462647
Page Count	6
File Format	PDF
ISBN	9781479973392
DOI	10.1109/WCSP.2014.6992005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Energy consumption Wireless sensor networks Clustering algorithms Data collection Energy-balanced Data models Delays Low-latency
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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