Optimization within Sensor Networks and Telecommunications

Special Issue Editors


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Guest Editor
Department of Engineering and Technology, University of Dubrovnik, 20000 Dubrovnik, Croatia
Interests: sensor scheduling; target tracking; sensor deployment

E-Mail Website
Guest Editor
Department of Engineering and Technology, University of Dubrovnik, 20000 Dubrovnik, Croatia
Interests: sensor scheduling; target tracking; sensor deployment

E-Mail Website
Guest Editor
Department of Engineering and Technology, University of Dubrovnik, 20000 Dubrovnik, Croatia
Interests: sensor scheduling; target tracking; sensor deployment

E-Mail Website
Guest Editor
Department of Electrical Engineering and Computing, University of Dubrovnik, 20000 Dubrovnik, Croatia
Interests: sensor scheduling; target tracking; sensor deployment

Special Issue Information

Dear Colleagues,

Due to the technological advances that have enabled their usage in several relevant and different scenarios, in recent years, Wireless Sensor Networks have met growing popularity and, likewise, an increasing research interest.

Among other applications, we may recall:

- smart cities (smart parking, smart lighting, noise and traffic congestion control, waste management);

- environmental monitoring (air pollution control, fire detection);

- domotics and home automation (smart homes, Internet of Things);

- healthcare (patient monitoring, condition control for medical appliances, e.g., vaccine storage freezers).

The underlying technical complexity associated with these applications and the limited resources available to the individual sensing devices, in terms of both hardware capabilities and battery capacity, represent a continuous source of new difficult challenges for the Optimization and Operational Research scientific communities.

This Special Issue will focus on novel research directions in this challenging field. Topics of interest include, but are not limited to, distributed or centralized exact and heuristic approaches for the following problem areas:

- sensor activation scheduling to prolong network lifetime;

- sensor transmission scheduling to avoid collisions;

- efficient tracking for moving targets;

- sensor deployment for area monitoring;

- mobility models and protocols for WSNs with mobile nodes;

- efficient data transmission and multi-hop routing protocols;

- failure-resistant robust protocols;

- machine learning and pattern recognition applications to WSNs.

Dr. Adriana Lipovac
Dr. Anamaria Bjelopera
Dr. Mario Miličević
Dr. Krunoslav Zubrinic
Guest Editors

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Keywords

  • sensor scheduling
  • target tracking
  • sensor deployment
  • metaheuristic algorithms
  • exact approaches
  • distributed protocols
  • communication protocols
  • reliable communications

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Published Papers (2 papers)

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Research

21 pages, 6078 KiB  
Article
Low-Cost Real-Time Locating System Solution Development and Implementation in Manufacturing Industry
by Andrea Volpi, Roberto Montanari, Letizia Tebaldi and Marco Mambrioni
J. Sens. Actuator Netw. 2023, 12(4), 54; https://doi.org/10.3390/jsan12040054 - 10 Jul 2023
Cited by 1 | Viewed by 1566
Abstract
The present work originates from a previous study in which a low-cost Real-Time Locating System (RTLS) based on Ultra-Wideband signals was developed and tested both in a laboratory and in a real industrial environment for assessing its performance and determining the best configuration, [...] Read more.
The present work originates from a previous study in which a low-cost Real-Time Locating System (RTLS) based on Ultra-Wideband signals was developed and tested both in a laboratory and in a real industrial environment for assessing its performance and determining the best configuration, according to some selected KPIs. Starting from the future research directions depicted, the evolution herein presented is twofold. First, tests performed in the laboratory are refined and deepened in terms of (i) different anchors’ arrangements and orientation; (ii) the increased number of tested tags; and (iii) the tags’ battery capacity test. Second, the development and deployment of the industrial solution as well is improved by means of a case for hosting tags to be positioned on the asset to be tracked, realized through 3D printing, in line with the industrial context requirements. Finally, an economic analysis is performed so as to demonstrate the convenience of the investment and the feasibility of the solution. Results are positive and promising in terms of both economic sustainability and implementation of the system in a real industrial environment and may constitute guidelines for practitioners and managers. Full article
(This article belongs to the Special Issue Optimization within Sensor Networks and Telecommunications)
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19 pages, 13780 KiB  
Article
Underwater Wireless Sensor Network Performance Analysis Using Diverse Routing Protocols
by Kaveripaka Sathish, Chinthaginjala Venkata Ravikumar, Anbazhagan Rajesh and Giovanni Pau
J. Sens. Actuator Netw. 2022, 11(4), 64; https://doi.org/10.3390/jsan11040064 - 9 Oct 2022
Cited by 42 | Viewed by 3811
Abstract
The planet is the most water-rich place because the oceans cover more than 75% of its land area. Because of the unique activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit [...] Read more.
The planet is the most water-rich place because the oceans cover more than 75% of its land area. Because of the unique activities that occur in the depths, we know very little about oceans. Underwater wireless sensors are tools that can continuously transmit data to one of the source sensors while monitoring and recording their surroundings’ physical and environmental parameters. An Underwater Wireless Sensor Network (UWSN) is the name given to the network created by collecting these underwater wireless sensors. This particular technology has a random path loss model due to the time-varying nature of channel parameters. Data transmission between underwater wireless sensor nodes requires a careful selection of routing protocols. By changing the number of nodes in the model and the maximum speed of each node, performance parameters, such as average transmission delay, average jitter, percentage of utilization, and power used in transmit and receive modes, are explored. This paper focuses on UWSN performance analysis, comparing various routing protocols. A network path using the source-tree adaptive routing-least overhead routing approach (STAR-LORA) Protocol exhibits 85.3% lower jitter than conventional routing protocols. Interestingly, the fisheye routing protocol achieves a 91.4% higher utilization percentage than its counterparts. The results obtained using the QualNet 7.1 simulator suggest the suitability of routing protocols in UWSN. Full article
(This article belongs to the Special Issue Optimization within Sensor Networks and Telecommunications)
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