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Electronics
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Crowdsensing for Wireless Communication and Networking
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Crowdsensing for Wireless Communication and Networking

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (15 August 2021) | Viewed by 9554

Special Issue Editor

Prof. Dr. Lutful Karim

E-Mail Website
Guest Editor
Professor at School of ICT, Seneca College of Applied Arts and Technology, Toronto, ON, Canada
Interests: wireless communication and networking; mobile computing; crowdsourcing; crowdsensing; opportunistic communication; wireless sensor network

Special Issue Information

Dear Colleagues,

With the advent of sensors, RFID, and other emerging technologies and smart devices such as smartphones, tablets, and PDAs, crowdsensing has become a new data communication paradigm that has great potential in many applications such as smart city, smart grid, and disaster recovery and management. Crowdsensing emerges due to the dynamic nature of the network to opportunistically collect and transfer data in the presence a number of people in crowded area through their smart devices. Though research has been conducted in crowdsensing and crowdsourcing, still, designing efficient routing protocols, data aggregation approaches, and achieving security and privacy pose a great challenge in this area.

General topics covered in this Special Issue include but are not limited to:

  • Crowdsensing applications such as disaster recovery, smart city, smart grid;
  • Placement of base station and transmitters;
  • Data forwarding approaches, routing protocols;
  • Models and analysis of crowdsensing networks;
  • Localization approaches;
  • Distributed data processing of crowdsensed data;
  • Security and privacy mechanisms approaches in crowd sensing;
  • Network management and optimization algorithms;
  • Energy efficient protocols and approaches;
  • Collaboration of IoT with Crowdsensing in data communication;
  • Big data processing of crowdsensed data.

Prof. Dr. Lutful Karim
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers (3 papers)

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Research

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30 pages, 4208 KiB  
Article
Iterative Spatial Crowdsourcing in Peer-to-Peer Opportunistic Networks
by Jurairat Phuttharak and Seng W. Loke
Electronics 2020, 9(7), 1085; https://doi.org/10.3390/electronics9071085 - 2 Jul 2020
Viewed by 2286
Abstract
Spatial crowdsourcing is a potentially powerful method for incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility and context-awareness. This paper proposes and investigates task assignments and recruitment in iterative spatial crowdsourcing processes to find regions of [...] Read more.
Spatial crowdsourcing is a potentially powerful method for incorporating human wisdom into mobile computations to solve problems while exploiting the advantages of mobility and context-awareness. This paper proposes and investigates task assignments and recruitment in iterative spatial crowdsourcing processes to find regions of particular interest among a collection of regions. We consider cases where associations between regions can be exploited to reduce costs and increase efficiency in crowdsourcing. We describe five approaches, incorporated into crowdsourcing algorithms, for reducing the cost (the number of queries required) and increasing the efficiency (reducing the number of rounds of querying required) in using such spatial crowdsourcing. We demonstrate the performance improvements gained using these approaches based on simulation scenarios. The findings show the interplay and relationships among our proposed approaches using a range of metrics including responses, energy consumption, costs, and time usage. These metrics are demonstrated via a range of scenarios, showing that our proposed approaches can lead to improved performance over randomly choosing regions for inquiry. Full article
(This article belongs to the Special Issue Crowdsensing for Wireless Communication and Networking)
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17 pages, 4103 KiB  
Article
Efficient Opportunistic Routing Protocol for Sensor Network in Emergency Applications
by Mohammed S. Al-kahtani, Lutful Karim and Nargis Khan
Electronics 2020, 9(3), 455; https://doi.org/10.3390/electronics9030455 - 8 Mar 2020
Cited by 8 | Viewed by 3160
Abstract
Routing or forwarding information, such as the location of incidents and victims in a disaster, is significantly important for quick and accurate incident response. However, forwarding such information in disaster areas has been a challenging task for the Wireless Sensor Network as existing [...] Read more.
Routing or forwarding information, such as the location of incidents and victims in a disaster, is significantly important for quick and accurate incident response. However, forwarding such information in disaster areas has been a challenging task for the Wireless Sensor Network as existing networks are affected (destroyed or overused) the disaster. Opportunistic information forwarding can play a vital role in such circumstances. Existing opportunistic routing protocols require huge message transmissions for cluster restoration, which is not energy efficient and results in packet loss. Hence, this paper introduces an energy efficient and reliable opportunistic density cluster-based routing protocol that opportunistically transmits data using a density-clustering protocol for emergency and disaster situations. Simulation results show that the proposed protocol outperforms some existing and well-known routing protocols in terms of network energy consumption, throughput and successful data transmissions. Full article
(This article belongs to the Special Issue Crowdsensing for Wireless Communication and Networking)
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Review

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17 pages, 756 KiB  
Review
A Review of Relay Assignment Problem in the Cooperative Wireless Sensor Networks
by Mohammed S. Al-kahtani
Electronics 2020, 9(3), 443; https://doi.org/10.3390/electronics9030443 - 6 Mar 2020
Cited by 8 | Viewed by 3439
Abstract
The relay selection is a promising approach of maximizing the diversity gain achieved in the cooperative wireless sensor networks. In the cooperative networks, the proper selection of relay node is a challenging task. The proper selection of relay nodes not only improves the [...] Read more.
The relay selection is a promising approach of maximizing the diversity gain achieved in the cooperative wireless sensor networks. In the cooperative networks, the proper selection of relay node is a challenging task. The proper selection of relay nodes not only improves the source–destination performance, but also maximizes the overall system performance. There are many factors involved in designing a relay selection algorithm. The different relay selection algorithms have different focus, criteria, objective, mechanism, and performance issues. In this article, several relay assignment algorithms have been analyzed to show the effectiveness of channel capacity, power allocation, coverage expansion and interference mitigation in term of proper relay selection schemes. Moreover, this paper discusses some relay selection schemes, their challenging issues, limitations, performance criteria, and mechanisms. This article also highlights the significant design issues of relay selection methods and compares them that are appropriate in the cooperative wireless sensor networks. Full article
(This article belongs to the Special Issue Crowdsensing for Wireless Communication and Networking)
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