Density and transmission power in intelligent wireless sensor networks

Michele Chincoli, Stavros Stavrou, Antonio Liotta

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

3 Citations (Scopus)
1 Downloads (Pure)


This paper covers the problem of interference generated by sensor nodes in Wireless Sensor Networks (WSNs). The interference affects the link quality of wireless communications, thus the Quality of Service (QoS) of Internet of Things (IoT) applications. The interference is the effect of the transmission of a cluster of nodes, at a certain power which is not always efficiently set, or calibrated. In addition, using unnecessary high power values impacts the waste of the node energy. Therefore, we address the interference problem by means of Transmission Power Control (TPC), for spatial reuse across the networks, which allows simultaneous point-to-point communications. Given the dynamics and unpredictability of the wireless channel, theoretical and empirical solutions are too slow, inefficient and memoryless for the problem we are facing. Our proposed protocol, QL-TPC, integrates reinforcement learning with game theory, within the IEEE 802.15.4 standard, at the MAC layer, to learn the combination of power levels per node, through indirect cooperation. The goal is to define the minimum transmission power, related to the density of the network, while respecting the QoS requirements and saving energy. QL-TPC is implemented in Atmel Zigbit, real world sensor devices, and is tested in a Faraday cage. We show the results, focusing on the aspect of reliability, energy efficiency, convergence and scalability. The nodes that use our protocol are estimated to have longer lifetime in order of months, while keeping same performance, than the homogeneous case.

Original languageEnglish
Title of host publication2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Print)9781538620700
Publication statusPublished - 28 Aug 2018
Event14th International Wireless Communications and Mobile Computing Conference, (IWCMC2018) - Limassol, Cyprus
Duration: 25 Jun 201829 Jun 2018


Conference14th International Wireless Communications and Mobile Computing Conference, (IWCMC2018)
Abbreviated titleIWCMC2018
Internet address


  • density
  • IEEE 802.15.4
  • interference
  • internet of things
  • machine learning
  • q-learning
  • reinforcement learning
  • testbed
  • transmission power control
  • wireless sensor network


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