Energy Management in Distributed Wireless Networks

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Wireless Control Networks".

Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 13455

Special Issue Editors


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Dipartimento di Ingegneria Informatica, Modellistica, Elettronica e Sistemistica (DIMES), Università della Calabria, Italy
Interests: Wireless Networks and Communication, Internet of Things, Embedded Systems, Pervasive and Mobile Computing, Information Theory
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Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic
Interests: non-intrusive speech quality evaluation methods; quality of service (QoS); quality of experience (QoE) and security of real-time applications in networks; traffic modeling; wireless communication; Internet of Things; energy harvesting; network security; big data analytics in networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Telecommunication Engineering School, University of Malaga, 29071 Malaga, Spain
2. Institute of Oceanic Engineering Research, University of Malaga, 29071 Malaga, Spain
Interests: IOT; wireless protocols; underwater sensor network; model simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The last few decades have assisted in the proliferation of Wireless Sensor Networks (WSNs), Mobile Ad Hoc Networks and, in general, distributed wireless systems, in both academic and industrial communities. Increasingly larger numbers of sensor nodes have been deployed and are networked to monitor or survey targeted areas, such that the interested data can be sensed, processed, stored and collected. Moreover, WSN areas can be connected through distributed wireless systems, such as Mobile Ad Hoc Networks or Wireless Mesh Networks. In these heterogeneous scenarios, energy efficient strategies can be a key factors because it is important to prolong a network lifetime, but it is important to also reduce CO2 emissions for a new generation of wireless devices.

Unfortunately, trying to design energy-efficient protocols and strategies can reduce QoS satisfactions, security levels or can degrade the performance of systems if some other metrics have been considered. In this Special Issue, we are interested in collecting the best practices and techniques developed to balance energy saving and QoS satisfaction and/or security and/or protocol performance. The key component to be evaluated is energy in the management of WSN, MANET or integrated WSN/MANET. However, the compromise between energy and other key metrics in protocol design will be also appreciated and considered.

Papers on the tradeoff between system performance and energy efficiency, through adapting sensing/networking functionalities to energy budget, are solicited. New techniques to sustainably supply energy to sensor nodes or mobile nodes are encouraged. For example, sensor nodes equipped with certain energy harvesting to periodically charge the sensor nodes (if they are rechargeable). The above threads (or the joint optimizations across them) are of great significance to improve the sustainability and performance of WSNs/MANETs.

Topic of this Special Issues include, but are not limited to:

  • Energy harvesting/charging and power management
  • Long-life sensor node deployment and topology control
  • Energy-efficient communication protocol design
  • Scheduling algorithms for distributed wireless networks
  • Directional/Smart Antennas for energy efficient protocols
  • Energy-efficient (or -free) sensing techniques
  • Data Aggregation/Fusion for energy efficient
  • Trade-off techniques for energy efficiency considering also QoS and/or security
  • Cross layering and protocol design for energy efficiency
  • New applications of self-sustainable distributed wireless networks
  • Data routing, processing and storage strategies
  • Network modeling and performance analysis

Prof. Dr. Floriano De Rango
Prof. Dr. Miroslav Voznak
Prof. Dr. Alfonso Ariza Quintana
Guest Editors

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Keywords

  • Energy harvesting/charging
  • power management
  • Long-life sensor
  • Energy-efficient communication
  • distributed wireless networks
  • sensing techniques
  • Data Aggregation/Fusion
  • QoS
  • security
  • Cross layering
  • protocol design for energy efficiency
  • Data routing
  • storage strategies
  • Network modelling
  • performance analysis

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Published Papers (2 papers)

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Research

19 pages, 388 KiB  
Article
Power-Aware Synchronization of a Software Defined Clock
by Augusto Ciuffoletti
J. Sens. Actuator Netw. 2019, 8(1), 11; https://doi.org/10.3390/jsan8010011 - 18 Jan 2019
Cited by 1 | Viewed by 6163
Abstract
In a distributed system, a common time reference allows each component to associate the same timestamp to events that occur simultaneously. It is a design option with benefits and drawbacks since it simplifies and makes more efficient a number of functions, but requires [...] Read more.
In a distributed system, a common time reference allows each component to associate the same timestamp to events that occur simultaneously. It is a design option with benefits and drawbacks since it simplifies and makes more efficient a number of functions, but requires additional resources and control to keep component clocks synchronized. In this paper, we quantify how much power is spent to implement such a function, which helps to solve the dilemma in a system of low-power sensors. To find widely applicable results, the formal model used in our investigation is agnostic of the communication pattern that components use to synchronize their clocks, and focuses on the scheduling of clock synchronization operations needed to correct clock drift. This model helps us to discover that the dynamic calibration of clock drift significantly reduces power consumption. We derive an optimal algorithm to keep a software defined clock (SDCk) synchronized with the reference, and we find that its effectiveness is strongly influenced by hardware clock quality. To demonstrate the soundness of formal statements, we introduce a proof of concept. For its implementation, we privilege low-cost components and standard protocols, and we use it to find that the power needed to keep a clock within 200 ms from UTC (Universal Time Coordinate) as on the order of 10−5 W . The prototype is fully documented and reproducible. Full article
(This article belongs to the Special Issue Energy Management in Distributed Wireless Networks)
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21 pages, 1944 KiB  
Article
An Adaptive Beamforming Time with Round-Robin MAC Algorithm for Reducing Energy Consumption in MANET
by Vincenzo Inzillo, Floriano De Rango, Alfonso A. Quintana and Amilcare F. Santamaria
J. Sens. Actuator Netw. 2018, 7(4), 50; https://doi.org/10.3390/jsan7040050 - 23 Nov 2018
Cited by 6 | Viewed by 6553
Abstract
The use of smart antenna systems (SASs) in mobile ad hoc networks (MANETs) has been promoted as the best choice to improve spatial division multiple access (SDMA) and throughput. Although directional communications are expected to provide great advantages in terms of network performance, [...] Read more.
The use of smart antenna systems (SASs) in mobile ad hoc networks (MANETs) has been promoted as the best choice to improve spatial division multiple access (SDMA) and throughput. Although directional communications are expected to provide great advantages in terms of network performance, directional MAC (medium access control) protocols introduce several issues. One of the most known problems in this context is represented by the fact that, when attempting to solve or at least mitigate the problems introduced by these kinds of antennas especially at MAC layer, a large amount of energy consumption is achieved; for example, due to excessive retransmissions introduced by very frequently issue such as deafness and handoff. The expedients proposed in order to reduce these drawbacks attempting to limit beamforming time of nodes in cooperation with a round-robin scheduling can grant high performance in terms of fairness and throughput. However, the overall energy distribution in the network is not efficient due to static approach. In view of this, we propose adaptive beamforming time with round-robin MAC providing a dynamic assignment of the beamforming time with the aim to limit the waste of energy of nodes. The proposed approach provides benefits in terms of energy consumption distribution among nodes in sectorized antennas environments and, simultaneously, improves MAC packet performance. Full article
(This article belongs to the Special Issue Energy Management in Distributed Wireless Networks)
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