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Efficient Node and Sensed Module Management for Multisensory Wireless Sensor Networks.

Juan Feng1, Xiaozhu Shi2

  • 1School of Aerospace Science and Technology, Xidian University, Xi'an 710071, China. fengj@xidian.edu.cn.

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|July 20, 2018
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Summary
This summary is machine-generated.

This study introduces an efficient strategy for managing nodes and sensing modules in multisensory wireless sensor networks (WSNs). The new approach saves energy and extends network life while maintaining tracking accuracy.

Keywords:
WSNenergy efficiencynode selectionsensed module management

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless sensor networks (WSNs) commonly employ node selection for energy conservation during target tracking.
  • Existing node selection strategies primarily focus on sensor nodes with single sensing modules.
  • Multisensory WSNs with nodes possessing multiple sensing modules lack efficient management and selection strategies.

Purpose of the Study:

  • To propose an efficient node and sensed module management strategy (ENSMM) for multisensory WSNs.
  • To address the limitations of existing research by considering both node and sensing module selection.
  • To optimize power management in multisensory WSNs.

Main Methods:

  • Developed the Efficient Node and Sensed Module Management (ENSMM) strategy.
  • Integrated node selection with sensing module selection for power management.
  • Proposed a joint weighted information utility measurement for multisensory data.

Main Results:

  • ENSMM significantly decreases energy consumption in multisensory WSNs.
  • The proposed strategy effectively prolongs the network lifetime.
  • ENSMM guarantees tracking accuracy while reducing computational complexity.

Conclusions:

  • ENSMM offers a superior approach for managing multisensory WSNs compared to state-of-the-art methods.
  • The strategy provides an effective solution for energy conservation and extended operational life in complex WSN environments.
  • This work advances the field of WSN management for target tracking applications.