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Self-powered wireless sensor node power modeling based on ieee 802.11 communication protocol

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Design and technical advancements in sensing, processing, and wireless communication capabilities of small, portable devices known as wireless sensor nodes (WSNs) have drawn extensive research attention and are vastly applied in science and engineering applications. WSNs are typically powered by a chemical battery source that has a load-dependent finite lifetime. Most applications, including nuclear industry applications, require WSNs to operate for an extended period of time beginning with their deployment. To ensure longevity, it is important to develop self-powered WSNs. The benefit of self-powered WSNs goes far beyond the cost savings of removing the need for cable installation and maintenance. Self-powered WSNs will potentially offer significant expansion in remote monitoring of nuclear facilities, and provide important data on plant equipment and component status during normal operation, as well as during abnormal operation or station blackouts and for post- Accident evaluation. A WSN must perform three essential tasks: (1) sense events, (2) quick local information processing of sensed events, and (3) wirelessly exchange locally processed data with the base station or other WSNs in the network. Each task has a power cost per unit time and an additional cost when switching between tasks. Other considerations like channel access, packet collision, retransmission attempts, and transmission of a data packet, must also be taken into account when computing the power consumption associated with each task. This paper presents stochastic modeling of energy demand for a schedule-driven WSN utilizing IEEE Std. 802.11, "Part II: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications," communication protocols. The model captures the generic operation of a scheduledriven WSN when an external event occurs (i.e., sensing, followed by processing, and then followed by communication). The modeling results are verified via simulation.

Original languageEnglish
Title of host publicationInternational Congress on Advances in Nuclear Power Plants, ICAPP 2016
PublisherAmerican Nuclear Society
Pages1141-1151
Number of pages11
ISBN (Electronic)9781510825949
StatePublished - 2016
Event2016 International Congress on Advances in Nuclear Power Plants, ICAPP 2016 - San Francisco, United States
Duration: Apr 17 2016Apr 20 2016

Publication series

NameInternational Congress on Advances in Nuclear Power Plants, ICAPP 2016
Volume2

Conference

Conference2016 International Congress on Advances in Nuclear Power Plants, ICAPP 2016
Country/TerritoryUnited States
CitySan Francisco
Period04/17/1604/20/16

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