State-of-the-Art Device-to-Device Communication Solutions

Areqi, Manal A.; Zahary, Ammar; Ali, Mansoor

doi:10.1109/access.2023.3275915

Cited by 14 publications

(11 citation statements)

References 94 publications

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“…Industries can now optimize their processes by utilizing and expanding their remote operations [103]. A variety of domains have seen the deployment of IoT products, as depicted in the Figure 2 below: smart grids, vehicle-to-everything, wildlife management, supply chain logistics, and smart healthcare, among other cases [104][105][106]. Sensors are the primary components of IoT systems designed for Machine-to-Machine (M2M) communication, serving the purposes of monitoring or actuation.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

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Section: Internet Of Thingsmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

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“…There are many challenges facing D2D_IoT communications, and some of these challenges include the following [3], [8]- [10]: Security and privacy. D2D_IoT communications must ensure secure and reliable data exchange, free from hardware complexity and power consumption.…”

Section: D2d_iot Communications Challengesmentioning

confidence: 99%

“…There is no limitation on the number of connected devices because it depends on data names, not addresses [26]. ICN also overcomes the challenges of D2D communication, including mobility and security [3]. ICN networks depend on naming data and thus provide flexibility for dynamic mobility, so communication is not interrupted due to changing addresses, as happens in IP networks.…”

Section: Mobilitymentioning

confidence: 99%

“…Therefore, D2D communication has become an inevitable necessity. Devices decide to communicate directly without transmitting data to the upper layers, thus reducing pressure on the network [3]. Recently, IP-based technologies such as IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN) and Lowpower wide area networks (LPWA) have been developed to suit the requirements of connecting IoT devices.…”

Section: Introductionmentioning

confidence: 99%

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IP and ICN Networking in D2D_IoT Communications: A Comparative Study

Ali,

Zahary,

Areqi

2024

jast

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Device-to-device Internet of Things (D2D_IoT) communications are promising and futuristic communications that contribute to reducing pressure on the network. Recently, the research community proposed information-centric networks (ICN) to achieve D2D_IoT communications. This paper will provide a qualitative comparison between Internet Protocol (IP) and ICN networks. The paper will compare naming, messaging, routing, caching, and security. ICN is more suitable for the D2D_IoT due to its compatibility with its design and the requirements of IoT applications, making it a promising solution for IoT networks.

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“…The same concept of operation can be widely applicable for various emerging network architectures. Such applications include wireless networks that can incorporate social awareness [ 9 , 10 , 11 ], as well as support health and environmental monitoring [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

On Power-Efficient Low-Complexity Adaptation for D2D Resource Allocation with Interference Cancelation

Radaydeh

2023

Sensors

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This paper presents a detailed framework for adaptive low-complexity and power-efficient resource allocation in decentralized device-to-device (D2D) networks. The adopted system model considers that active devices can directly communicate via specified signaling channels. Each D2D receiver attempts to allocate its D2D resources by selecting a D2D transmitter and one of its spectral channels that can meet its performance target. The process is performed adaptively over successive packet durations with the objective of limiting the transmit power on D2D links while reducing the processing complexity. The proposed D2D link adaptation scheme is modeled and analyzed under generalized channel conditions. It considers the random impact of potential D2D transmitters as well as the random number of co-channel interference sources on each D2D link. Interference cancelation schemes are also addressed to alleviate co-channel interference, which can ease the D2D resource allocation process. Generalized formulations for the statistics of the resulting signal-to-interference plus noise ratio (SINR) of the proposed adaptation scheme are presented. Moreover, generic analytical results were developed for some important performance measures as well as processing load measures. They facilitate tradeoff studies between the achieved performance and the processing complexity of the proposed scheme. Insightful results for the distributions of SINRs on individual D2D links under specific fading models are shown in this paper. The results herein add enhancements to some previous contributions and can handle various practical constraints.

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State-of-the-Art Device-to-Device Communication Solutions

Cited by 14 publications

References 94 publications

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

IP and ICN Networking in D2D_IoT Communications: A Comparative Study

On Power-Efficient Low-Complexity Adaptation for D2D Resource Allocation with Interference Cancelation

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