MRIRS: Mobile Ad Hoc Routing Assisted With Intelligent Reflecting Surfaces

Sadreddini, Zhaleh; Güler, Erkan; Khalily, Mohsen; Yanıkömeroğlu, Halim

doi:10.1109/tccn.2021.3084402

Cited by 12 publications

(6 citation statements)

References 40 publications

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“…Because of their large aperture, RISs are leveraged to power a massive number of devices, compensating for the significant power loss over long distances [17]- [19]. For instance, by adjusting the phase and amplitude of the incident waves, RISs can focus the energy toward the intended node, thus reducing losses and improving overall transfer efficiency.…”

Section: A Related Workmentioning

confidence: 99%

Reconfigurable Intelligent Surface-Assisted Routing for Power-Constrained IoT Networks

Derbas,

Naser,

Bariah

et al. 2024

IEEE Open J. Commun. Soc.

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In power-constrained wireless networks, extending network lifespan can be achieved through effective energy harvesting techniques. Developing energy-efficient routing protocols in such networks is complex due to the unstable and unpredictable harvested energy. In this regard, reconfigurable Intelligent Surfaces (RIS), capable of manipulating the RF signals, offer enhanced energy harvesting, which in turn minimizes the nodes' battery recharging time (BRT). Our study presents a novel RIS-assisted routing protocol for multi-hop energy harvesting-based wireless networks. The protocol assigns channels to each hop on the chosen path. It incorporates a rate calculation algorithm that takes into consideration the harvested power, BRT, and channel conditions. More specifically, it assigns a specific rate to every available channel, taking into account the energy available at each node, the estimated time required for battery recharging, and the link status between nodes. By selecting the highest rate per hop, the protocol enhances network throughput while considering energy limits and channel quality. The proposed approach is evaluated and compared with the benchmark, the Min hop scheme, using Matlab simulations, demonstrating its superior performance.INDEX TERMS Battery recharging time, energy-efficient routing, IoT, reconfigurable intelligent surface (RIS), wireless power transfer (WPT).

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Section: A Related Workmentioning

confidence: 99%

Reconfigurable Intelligent Surface-Assisted Routing for Power-Constrained IoT Networks

Derbas,

Naser,

Bariah

et al. 2024

IEEE Open J. Commun. Soc.

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“…There are several advantages to integrating the IRS with an SDN-capable autonomous UAV network in 6G environments. As SDUAV networks require an adaptable and efficient technique of managing network resources, the IRS can assist them by providing adaption capabilities for changing 6G wireless circumstances [240]. Moreover, IRS can enhance coverage in locations where the signal is feeble or obstructed by objects.…”

Section: Sdn Uav Sduav and 6gmentioning

confidence: 99%

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Siddiki Abir,

Chowdhury,

Jang

2023

IEEE Open J. Commun. Soc.

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The ever-increasing demand for wireless communication has driven the development of innovative technologies to address the issues that conventional communication networks meet. To support autonomous devices in the sixth-generation (6G) and provide seamless wireless connectivity in inaccessible and hard-to-reach areas, the combination of software-defined networking (SDN) with unmanned aerial vehicles (UAVs) has already shown promises. As the traditional UAV-based cellular network encompasses challenges such as lack of centralized supervision, robust decision-making ability, and dynamic network management, the SDN platform could be an excellent alternative to offer aerial networking for future 6G ecosystem. However, the SDN-assisted UAV paradigm faces a set of challenges and critical issues. For instance, the network management and orchestration, resource allocation and optimization, handover mechanism, spectrum management, energy efficiency, integration of heterogeneous networks, and reliability, thus causing the decrease of quality of services of the SDN-enables UAV networks. To effectively address all these issues and identify the trends of software-defined UAV (SDUAV) networks, more research activities are needed. Unfortunately, there are not any specific guidelines in the literature that address each of these requirements, enabling technologies, emerging techniques, and future research directions in the context of SDN-based UAV networks to enable next-generation 6G systems. Therefore, motivated by this fact, this paper offers a comprehensive evaluation of the state of the SDUAV network and architecture, highlighting its various requirements and different prospects and applications in 6G systems. Besides, this paper also addresses why the combination of SDN and UAV-enabled networks is becoming essential in the 6G networking context and how it can offer more flexibility, scalability, reliability, and efficient connectivity than the conventional approaches to provide features like intelligence, automation, programmability, and centralized controllability. This paper furthermore outlines the difficulties of implementing SDUAV networks, such as security, adaptability, interference management, interoperability, and lack of standardization. Finally, to accomplish the goals, this article provides a roadmap for future trends and research directions in SDUAV networks to support the 6G systems.INDEX TERMS 6G, aerial base station, SDN, SDUAV, UAV-based cellular network. I. INTRODUCTIONThe growing trend of emerging technologies, such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), extended reality (XR), automated vehicles, electronic health (e-health), cloud computing, Internet of Things (IoT), and Industry 4.0, is culminating a massive amount of data every day [1]. Recently, the International Telecommunication Union (ITU) estimates that traffic volume will be 5016 EB/month, with traffic volume per person reaching 257.1 GB/month [2]. As a result, there will be 97 billion machine-to-machine (M...

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“…Some obstacles will be raised to make it possible, which are to be crushed. Some of the crucial problems are as follows [12]:…”

Section: Introductionmentioning

confidence: 99%

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

Karthikeyan,

Vadivel

2024

Wireless Pers Commun

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The device was invented to sense the variations in the deployed Environment, which takes different dimensions in its functionality. The basic operation does not change; it is the same surveillance, gathering and alert. Human intervention in all places is not possible and e cient monitoring in all circumstances cannot be done manually. Wireless Sensor Networks give the solution for the abovespeci ed problem, continuous e cient monitoring and alerting on time without human intervention in any circumstances. Deploying WSNs and extracting e cient performance requires a strong technology backup. However, it's a machine in logical connectivity that may face several technical issues while transferring the gathered data. It has to be recti ed, and e cient service to be provided in the deployed application. Finding the safest and fastest path is one of the critical tasks in the WSN. To achieve that, Bio-Inspired Computing will be used as a tool for designing the protocol to attain the fastest reliable network, even if it deals with the other problems in WSN, such as e cient energy utilization from the battery. In such a way, the Paper is proposed based on the exceptional and exciting behavior of one of the living things, which shook the entire world for almost two years in all aspects, and even a few countries are still seeking a way to come back from its impact, the reason for global lockdown, born with the crown, founder of social distancing, which is popularly known as "Corona" the virus.

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MRIRS: Mobile Ad Hoc Routing Assisted With Intelligent Reflecting Surfaces

Cited by 12 publications

References 40 publications

Reconfigurable Intelligent Surface-Assisted Routing for Power-Constrained IoT Networks

Reconfigurable Intelligent Surface-Assisted Routing for Power-Constrained IoT Networks

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Boosted Mutated Corona Virus Optimization Routing Protocol (BMCVORP) for Reliable Data Transmission with Efficient Energy Utilization

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