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Analytical Model of a Wireless Sensor Network (WSN) Node Operation with a Modified Threshold-Type Energy Saving
1Faculty of Applied Mathematics, Silesian University of Technology, 23 Kaszubska Str., 44-100 Gliwice, Poland. wojciech.kempa@polsl.pl.
Sensors (Basel, Switzerland)
|July 25, 2019
Summary
This study introduces an energy-saving mechanism for wireless sensor networks (WSNs) using a threshold-controlled multiple vacation policy. This model optimizes node operation by managing packet queues and vacation periods to conserve energy.
Area of Science:
- Computer Science
- Electrical Engineering
- Telecommunications
Background:
- Wireless Sensor Networks (WSNs) are crucial for data collection but face energy constraints.
- Efficient energy management is vital for extending the operational life of WSN nodes.
Purpose of the Study:
- To develop and analyze an energy-saving mechanism for WSN nodes.
- To model the node's operation using a threshold-controlled multiple vacation policy.
Main Methods:
- An embedded Markov chain approach is employed for analysis.
- Integral equations and renewal theory are utilized to study transient queue-size behavior.
- Laplace transforms are derived for queue-size distributions during idle and processing periods.
Main Results:
- Representations for Laplace transforms of queue-size distributions are obtained.
- Compact-form formulae for idle and processing period durations are derived.
- The model demonstrates effective energy saving through controlled vacations.
Conclusions:
- The proposed threshold-controlled multiple vacation policy offers an effective energy-saving strategy for WSN nodes.
- The analytical framework provides valuable insights into the transient behavior of such systems.
- Numerical examples validate the derived theoretical results.
Keywords:
energy savingmultiple vacation policyqueue-size distributionthreshold policytransient stateMore Related Videos
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