A Multi-criteria based handover algorithm for vehicle-to-infrastructure communications

Ndashimye, Emmanuel; Sarkar, Nurul I.; Ray, Sayan Kumar

doi:10.1016/j.comnet.2020.107652

Cited by 23 publications

(11 citation statements)

References 12 publications

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“…The system can be equipped with a soil moisture sensor that sends the readings to an Arduino microcontroller, which can then communicate the information to an LCD. This allows the farmer or gardener to keep track of the soil moisture levels at any time and make adjustments to the watering schedule as needed (Ndashimye et al,2021) Another advantage of an IoT Smart Irrigation system is its ability to conserve water. Traditional watering systems often rely on fixed watering schedules, which may not be appropriate for all types of plants or soil conditions.…”

Section: Analysis Of the Resultsmentioning

confidence: 99%

IoT Irrigation System Using Arduino

Basheer,

Hanass,

Sheikh

et al. 2024

Preprint

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The increasing demand for water in agriculture and the need for more efficient irrigation systems has led to the development of smart irrigation systems based on the Internet of Things. In this system, an Arduino microcontroller is used to control and monitor the watering of crops. The system is equipped with sensors that measure soil moisture which are used to optimize the irrigation process. The data collected by the sensors is transmitted to the Arduino, which then adjusts the watering schedule based on the information received. The use of IoT in smart irrigation systems provides several benefits, including reduced water waste, increased crop yields, and improved plant health. The implementation of this system using an Arduino platform is relatively simple, cost-effective, and can be easily integrated into existing irrigation systems. Overall, the use of IoT in smart irrigation using an Arduino platform has the potential to revolutionize the way we manage water resources in agriculture.

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Section: Analysis Of the Resultsmentioning

confidence: 99%

IoT Irrigation System Using Arduino

Basheer,

Hanass,

Sheikh

et al. 2024

Preprint

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“…2. For the horizontal handover of data [20,21] the path is to/ from A, which is co-located with the BS at E, to/from the BS at C, which is co-located with the BS at F (see Figures 2 and 3). When establishing communications, the quantum key is relayed from A to B and from B to C. 3.…”

Section: A Converged Fixed-wireless Connectivity Platform For V2imentioning

confidence: 99%

“…For the secured V2I communications, the converged connectivity platform consists of the following secured two‐way communication paths: To/from the vehicular OBUs and to/from the RSUs then to/from the BSs. For the horizontal handover of data [20, 21] the path is to/from A , which is co‐located with the BS at E , to/from the BS at C , which is co‐located with the BS at F (see Figures 2 and 3). When establishing communications, the quantum key is relayed from A to B and from B to C. For the onward vertical handover (not shown in Figure 2 or Figure 3), it is to/from a BSs and to/from an Edge Node (EN) on the infrastructure x‐haul. …”

Section: A Converged Fixed‐wireless Connectivity Platform For V2imentioning

confidence: 99%

Quantum Key Distribution for V2I communications with software‐defined networking

Stavdas,

Kosmatos,

Maple

et al. 2023

IET Quantum Communication

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The evolution of Connected and Autonomous Vehicles (CAVs) promises improvements in our travel experience and the potential to enhance road safety and reduce environmental impact. This will be utilising highly diverse traffic environments that enable several advanced mobility applications. A secure, efficient, reliable, and resilient communications infrastructure is required to support developments in these CAV systems. Next generation of telecommunication networks will seamlessly integrate terrestrial, satellite, and airborne networks into a single wireless system satisfying the requirements of trustworthy future transport systems. Given the increasing importance of CAVs, coupled with their attractiveness as a cyber‐attack for threat agents (e.g., disruption of transportation systems by nation states), security is paramount. Future communications systems offer an opportunity to integrate Quantum Key Distribution (QKD) into vehicular environments, protecting against advances in quantum computation that render many of the classical algorithms that underpin Public Key Infrastructure obsolete. This paper proposes a method for the integration of QKD in V2I networks to enable secure data communication. Quantum Key Distribution is used in the end‐to‐end path of vehicle‐to‐infrastructure (V2I) networks. Furthermore, an overarching Software‐Defined Network, with integrated QKD, is introduced. We have investigated the security performance of QKD in a V2I network over an urban environment.

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“…The simulation models were used to evaluate the performance of the proposed framework, considering two heterogeneous wireless technologies, namely, WiFi and cellular networks. The multi-criteria based handover algorithm for V2I communications have been recently introduced in [45] for use in heterogeneous network environments. An MCDM algorithm was utilized to determine the optimal network for handover by considering the QoS needs of the ongoing services, such as guaranteed bandwidth, latency, PLR and the usage cost.…”

Section: Related Workmentioning

confidence: 99%