Swarm-based energy efficient scheduling for wireless sensor networks

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

2 Citations (Scopus)

Abstract

In recent years, wireless sensor networks have become attractive to industries due to their low operational cost and potential productivity gain. Designed to operate on batteries, some devices can operate several years without requiring human intervention. However, scheduling reliable wireless communication becomes challenging when considering the energy consumption of the devices. Furthermore, actual industrial network deployments and data traffic are often unpredictable as they greatly vary depending on the field of application. While application-specific solutions exist, an adaptive and application-agnostic solution is preferred. This work proposes a new wireless scheduling algorithm to address the reliability issue in wireless sensor networks, while considering the energy cost. The algorithm operates as a swarm and optimizes the number of communication resources allocated to each device in a short time. Tested on the IEEE 802.15.4 TSCH communication protocol, the algorithm is compared to the Minimal Scheduling Function (MSF), state of the art of TSCH scheduling. The algorithm highlights a strong performance in terms of packets reception ratio and latency. Furthermore, it shows an increased energy efficiency measured in current consumed per delivered packet.

Original languageEnglish
Title of host publication2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728108643
DOIs
Publication statusPublished - Oct 2019
Event2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019 - Granada, Spain
Duration: 28 Oct 201930 Oct 2019

Conference

Conference2019 IEEE Conference on Standards for Communications and Networking, CSCN 2019
Country/TerritorySpain
CityGranada
Period28/10/1930/10/19

Keywords

  • Reliability
  • Scheduling Algorithm
  • Wireless Sensor Networks

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