An Efficient Energy Harvesting and Optimal Clustering Technique for Sustainable Postdisaster Emergency Communication Systems

Saif, Abdu; Dimyati, Kaharudin; Noordin, Kamarul Ariffin; Deepak, G C; Shah, Nor Shahida Mohd; Abdullah, Qazwan; Mohamad, Mahathir bin

doi:10.1109/access.2021.3083640

Cited by 23 publications

(10 citation statements)

References 39 publications

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“…Similarly Ref. [143] used the optimal cluster head (CH) technique to make energy transfer more efficient in UAV-assisted D2D PDCs. The proposed results also showed improvements in terms of network coverage and reliability.…”

Section: E Energy Efficiencymentioning

confidence: 99%

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Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

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The number of disasters has increased over the past decade where these calamities significantly affect the functionality of communication networks. In the context of 6G, airborne and spaceborne networks offer hope in disaster recovery to serve the underserved and to be resilient in calamities. Therefore, our paper reviews the state-of-the-art literature on post-disaster wireless communication networks and provides insights for the future establishment of such networks. In particular, we first give an overview of the works investigating the general procedures and strategies for facing any large-scale disaster. Then, we present technological solutions for post-disaster communications, such as the recovery of the terrestrial infrastructure, installing aerial networks, and using spaceborne networks. Afterwards, we shed light on the technological aspects of post-disaster networks, primarily the physical and networking issues. We present the literature on channel modeling, coverage and capacity, radio resource management, localization, and energy efficiency in the physical layer part, and discuss the integrated space-air-ground architectures, routing, delay-tolerant/software-defined networks, and edge computing in the networking layer part. This paper also includes interesting simulation results which can provide practical guidelines about the deployment of ad hoc network architectures in emergency scenarios. Finally, we present several promising research directions, namely backhauling, cache-enabled and intelligent reflective surface-enabled networks, placement optimization of aerial base stations (ABSs), and the mobility-related aspects that come into play when deploying aerial networks, such as planning their trajectories and the consequent handovers (HOs).

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Section: E Energy Efficiencymentioning

confidence: 99%

“…Optimal placement [142] Solar powered UAVs [134] Beamforming, MIMO [135] 2021 Data retrieval [138] 2021 Energy harvesting, UAV, D2D [143]…”

mentioning

confidence: 99%

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Matracia

Saeed

Kishk

et al. 2022

IEEE Open J. Commun. Soc.

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“…For the verification of the monotonicity, the conduction to make the equation (13) positive is ( ) > 0. It is significant to have a fast response function with respect for power transmission ; thus: In the case of >̄⇒ () > ( )…”

Section: Monotonicitymentioning

confidence: 99%

“…The non-cooperative power has been chosen based on the equilibrium points' selection mechanism. The iterative utility functions are able to generate the optimal splitting ratio of the maximized user utility within a feasible set of user devices [13].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

Saif¹,

Noordin²,

Dimyati³

et al. 2021

KSII TIIS

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Device-to-Device (D2D) communication is one of the enabling technologies for 5G networks that support proximity-based service (ProSe) for wireless network communications. This paper proposes a power control algorithm based on the Nash equilibrium and game theory to eliminate the interference between the cellular user device and D2D links. This leads to reliable connectivity with minimal power consumption in wireless communication. The power control in D2D is modeled as a non-cooperative game. Each device is allowed to independently select and transmit its power to maximize (or minimize) user utility. The aim is to guide user devices to converge with the Nash equilibrium by establishing connectivity with network resources. The proposed algorithm with pricing factors is used for power consumption and reduces overall interference of D2Ds communication. The proposed algorithm is evaluated in terms of the energy efficiency of the average power consumption, the number of D2D communication, and the number of iterations. Besides, the algorithm has a relatively fast convergence with the Nash Equilibrium rate. It guarantees that the user devices can achieve their required Quality of Service (QoS) by adjusting the residual cost coefficient and residual energy factor. Simulation results show that the power control shows a significant reduction in power consumption that has been achieved by approximately 20% compared with algorithms in [11].

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“…UAVs can be used as mobile base stations to provide wireless coverage services in smart environments [9] and disaster-stricken areas [6]. However, the primary drawback is that UAVs run on battery power which can run out very quickly [10]. Consequently, UAVs' energy consumption and battery life become a significant constraint in the case of network infrastructure collapse [11].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Tethered UAV Deployment in B5G for Smart Environments and Disaster Recovery

Saif

Dimyati

Noordin

et al. 2021

2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA)

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Due to Unmanned aerial vehicles (UAVs) limitations in processing power and battery lifetime. The tethered UAV (TUAV) offers an attractive approach to answer these shortcomings. Since a tethered connected to UAV is one potential energy solution to provide a stable power supply that connects to the ground would achieve impressive performances in smart environments and disaster recovery. The proposed solution is intended to provide stable energy and increase the coverage area of TUAV for smart environments and disaster recovery. This paper proposed that the tethered connected to UAV will provide the continuous supply and exchange the data with ground terminals. Besides the adjustable tether length, elevation angels act to increase the hovering region, leading to the scalability of coverage in many applications.Moreover, the power consumption and transmission distance while achieving a trade-off between the hovering and coverage probabilities. The simulation results demonstrate efficient performance in terms of line-of-sight probability, path loss, and coverage probability for scalability coverage smart environments and disaster recovery scenarios. Furthermore, maximum coverage probability is achieved versus increased tethered length because of the gain and fly over a region of maximum tethered.

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An Efficient Energy Harvesting and Optimal Clustering Technique for Sustainable Postdisaster Emergency Communication Systems

Cited by 23 publications

References 39 publications

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

Post-Disaster Communications: Enabling Technologies, Architectures, and Open Challenges

An Efficient Game Theory-Based Power Control Algorithm for D2D Communication in 5G Networks

Energy-Efficient Tethered UAV Deployment in B5G for Smart Environments and Disaster Recovery

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