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Heterogeneous Sensor Communications and Networking for Future Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 8222

Special Issue Editors

Communications Research Centre, Ottawa, ON K2H 8S2, Canada
Interests: 5G; wireless communications; wireless networking; IoT; smart grid
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Departement of computer science, University of Paris 13, 93430 Villetaneuse, France
Interests: wireless ad hoc and sensor networks; Broadband Wireless Networks; multi-services bandwidth management in WLAN (IEEE 802.11); WMAN (IEEE 802.16); WWAN (LTE); security in wireless networks in general and wireless sensor and ad hoc networks in particular

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Guest Editor
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150080, China
Interests: wireless communications; physical layer technology and security; satellite communications and navigation
Special Issues, Collections and Topics in MDPI journals
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: 5G/6G network management and optimization; intelligent network control; green communication; smart grid communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is broadly regarded as the key to digitalized society today. Heterogeneous sensors with different abilities, such as different computing power, sensing features, elaboration capabilities, and sensing range, will be widely deployed in every corner of society, i.e., space, air, and ground, making heterogeneous integration a prominent feature of intelligent IoT. To overcome the high heterogeneity issues, new models should be developed to accommodate the large-scale geological deployment of sensor nodes and the universal network access of ubiquitous sensors. Considering the potential mobility, cooperation with mobile communication networks is a promising direction. To achieve these goals, novel architectures, protocols, and algorithms must be designed to intelligently adapt to the service requirement of smart applications. When the gathered information from multiple sensors is transmitted to a remote fusion center, caching and computing resources should be allocated to swiftly serve the data processing demand. The above issues challenge the practical implementation of future space, air, and ground integrated IoT. Thus, this Special Issue solicits original papers contributing to this theme.

Dr. Bo Rong
Prof. Dr. Jalel Ben-Othman
Dr. Shuai Han
Dr. Peng Yu
Guest Editors

Manuscript Submission Information

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Keywords

  • heterogeneous sensors
  • channel model of sensor nodes
  • sensor deployment and topology control
  • novel architectures and protocols
  • optimization of heterogeneous sensor networks
  • mobile sensor communications
  • radio resource allocation
  • fusion of heterogeneous sensor data

Published Papers (3 papers)

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Research

32 pages, 8333 KiB  
Article
Brokerage System for Integration of LrWPAN Technologies
by Josiah E. Balota and Ah-Lian Kor
Sensors 2022, 22(5), 1733; https://doi.org/10.3390/s22051733 - 23 Feb 2022
Cited by 3 | Viewed by 2426
Abstract
The prevalent demand for remote data sharing and connectivity has catalysed the development of many wireless network technologies. However, low-power and low-rate wireless network technologies have emerged as the preferred choice (due to cheap procurement and maintenance cost, efficiency, and adaptability). Currently, these [...] Read more.
The prevalent demand for remote data sharing and connectivity has catalysed the development of many wireless network technologies. However, low-power and low-rate wireless network technologies have emerged as the preferred choice (due to cheap procurement and maintenance cost, efficiency, and adaptability). Currently, these groups of wireless networks are adopted in homes, health, and business sectors. The increase in existing WSNs has resulted in the incompatibility of wireless network protocols and poses a problem that results in high acquisition or maintenance costs, increased complexity, reliability inadequacies in some instances, lack of uniformity within similar standards, and high energy consumption. To address this problem, we develop a novel machine-to-machine software-based brokerage application (known as JosNet) for interoperability and integration between Bluetooth LE, Zigbee, and Thread wireless network technologies. JosNet allows one network protocol to exchange data packets or commands with each other. In this paper, we present a novel working network brokerage model for a one-to-one network protocol to communication (e.g., from Zigbee to Bluetooth) or one-to-many network protocol communication (e.g., from Bluetooth to Zigbee, Thread, etc.) to securely send messages in a large-scale routing process for short or long-range connections. We also present a large-scale implementation of JosNet using a routing table for large areas. The results show an industry standard performance for end-to-end latency time and throughput. Full article
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22 pages, 5344 KiB  
Article
QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN
by Sumit Kumar, Rajeev Tiwari and Wei-Chiang Hong
Sensors 2021, 21(21), 7204; https://doi.org/10.3390/s21217204 - 29 Oct 2021
Cited by 6 | Viewed by 1643
Abstract
Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load [...] Read more.
Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network performance. Towards this, a novel content caching scheme is proposed in this paper. The proposed scheme first clusters the network nodes based on the hop count and bandwidth parameters to reduce content redundancy and caching operations. Then, the scheme takes content placement decisions using the cluster information, content popularity, and the hop count parameters, where the caching probability improves as the content traversed toward the requester. Hence, using the proposed heuristics, the popular contents are placed near the edges of the network to achieve a high cache hit ratio. Once the cache becomes full, the scheme implements Least-Frequently-Used (LFU) replacement scheme to substitute the least accessed content in the network routers. Extensive simulations are conducted and the performance of the proposed scheme is investigated under different network parameters that demonstrate the superiority of the proposed strategy w.r.t the peer competing strategies. Full article
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24 pages, 2124 KiB  
Article
Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks
by Mudathir F. S. Yagoub, Othman O. Khalifa, Abdelzahir Abdelmaboud, Valery Korotaev, Sergei A. Kozlov and Joel J. P. C. Rodrigues
Sensors 2021, 21(15), 5206; https://doi.org/10.3390/s21155206 - 31 Jul 2021
Cited by 7 | Viewed by 2705
Abstract
Wireless Sensor Networks (WSNs) have gained great significance from researchers and industry due to their wide applications. Energy and resource conservation challenges are facing the WSNs. Nevertheless, clustering techniques offer many solutions to address the WSN issues, such as energy efficiency, service redundancy, [...] Read more.
Wireless Sensor Networks (WSNs) have gained great significance from researchers and industry due to their wide applications. Energy and resource conservation challenges are facing the WSNs. Nevertheless, clustering techniques offer many solutions to address the WSN issues, such as energy efficiency, service redundancy, routing delay, scalability, and making WSNs more efficient. Unfortunately, the WSNs are still immature, and suffering in several aspects. This paper aims to solve some of the downsides in existing routing protocols for WSNs; a Lightweight and Efficient Dynamic Cluster Head Election routing protocol (LEDCHE-WSN) is proposed. The proposed routing algorithm comprises two integrated methods, electing the optimum cluster head, and organizing the re-clustering process dynamically. Furthermore, the proposed protocol improves on others present in the literature by combining the random and periodic electing method in the same round, and the random method starts first at the beginning of each round/cycle. Moreover, both random and periodic electing methods are preceded by checking the remaining power to skip the dead nodes and continue in the same way periodically with the rest of the nodes in the round. Additionally, the proposed protocol is distinguished by deleting dead nodes from the network topology list during the re-clustering process to address the black holes and routing delay problems. Finally, the proposed algorithm’s mathematical modeling and analysis are introduced. The experimental results reveal the proposed protocol outperforms the LEACH protocol by approximately 32% and the FBCFP protocol by 8%, in terms of power consumption and network lifetime. In terms of Mean Package Delay, LEDCHE-WSN improves the LEACH protocol by 42% and the FBCFP protocol by 15%, and regarding Loss Ratio, it improves the LEACH protocol by approximately 46% and FBCFP protocol by 25%. Full article
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