An improved "data Mules" scheme based on controlled working area and designed trajectory

Jie Wang, Chenxi Qiu, Xiaogang Qi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Under the traditional "data Mules" scheme in Wireless Sensor Networks, nodes cannot send the data until the Mules move nearby, which leads to longer data delay. To overcome this shortcoming, this paper improve the "data Under the traditional "data Mules" scheme in Wireless Sensor Networks, nodes cannot send the data until the Mules move nearby, which leads to longer data delay. To overcome this shortcoming, this paper improve the "data Mules" through changing the working area of the Mules and designing its track. According to the mathematical analysis, we can find that reducing the working area of the Mules and its overlapped part can significantly reduced data delay and enhance the equity among sensor nodes. On the basis of this conclusion, a novel thinking and several recommendatory schemes are proposed. The simulation result shows that the new algorithms are significantly superior to traditional one in the aspects of data delay and nodes' equity.

Original languageEnglish (US)
Title of host publicationFrontiers of Manufacturing and Design Science
Pages3785-3789
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010 - Chongqing, China
Duration: Dec 11 2010Dec 12 2010

Publication series

NameApplied Mechanics and Materials
Volume44-47
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010
Country/TerritoryChina
CityChongqing
Period12/11/1012/12/10

All Science Journal Classification (ASJC) codes

  • General Engineering

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