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Abstract Wireless sensor networks (WSNs) utilize largenumbers of wireless sensor nodes to perform close-range sensingand thus enhance sensing qualities. In typical sensing applications,data packets are flowing from sensor nodes to a base stationin a many-to-one network structure. To keep event detectiondelay at a low value, in applications that require occasion datasnapshots, it is always desirable to reduce the duration of adata collection process (DCP). Conversely, for applications thatrequire continuous monitoring, the number of DCPs completed ina given period of time is important for reconstructing an accurate data trend. In this system, a delay-aware network structure is proposed for WSNs with consecutive DCPs. The proposednetwork structure is able to increase the number of DCPs perunit time without imposing extra delay on each single DCP.
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A Delay-Aware Network Structure for Wireless Sensor Networks with Consecutive Data Collection Processes
Abstract
Wireless sensor networks (WSNs) utilize large numbers of wireless sensor nodes
to perform close-range sensing and thus enhance sensing qualities. In typical sensing
applications, data packets are flowing from sensor nodes to a base station in a many-to-
one network structure. To keep event detection delay at a low value, in applications that
require occasion data snapshots, it is always desirable to reduce the duration of a data
collection process (DCP). Conversely, for applications that require continuous
monitoring, the number of DCPs completed in a given period of time is important for
reconstructing an accurate data trend. In this system, a delay-aware network structure
is proposed for WSNs with consecutive DCPs. The proposed network structure is able
to increase the number of DCPs per unit time without imposing extra delay on each
single DCP. A multistage network formation algorithm is proposed to construct the
proposed network structure while keeping communication distances among sensor
nodes at low values. Simulation results shows that the proposed network structure can
provide significant improvements on data collection rates without increasing data
collection durations.
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The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963 by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries.
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PROJECT SUPPORT
0th Review 1st Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation
2nd Review 3rd Review
Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two
module Review Document Explanation
Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation
Final Review
Complete Code with Enhancement
Final Document (University Standard Format)
Complete Explanation for Project Concept & Code