Game Theoretic Optimal User Association in Emergency Networks

Esposito, Christian; Zhao, Zhongliang; Alcarria, Ramón; Rizzo, Gianluca

doi:10.1007/978-3-030-31831-4_2

Cited by 3 publications

(5 citation statements)

References 26 publications

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“…In the continuation of this work, on one hand, we will substitute the centralised optimization approach with a distributed one based on the game theory so that each UAVs is able to independently take decisions on its route and location without needed a controller sending commands. On the other hand, we aim to use our simulator to investigate the opportunistic user association with more than one access point, as in the area a user device can be connected to an antenna an UAV or establishing an ad-hoc connection with other users, as in [11], and assess the impact of such an approach on the energy consumption and perceived QoS.…”

Section: Discussionmentioning

confidence: 99%

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Esposito

Rizzo

2022

2022 IEEE 19th Annual Consumer Communications &Amp; Networking Conference (CCNC)

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Natural and man-made disasters have often consequences on service availability in a wireless access network, provoking a progressively degraded performance or even the lack of connectivity. However, given the growing importance of situation awareness, telehealth, and advanced rescue teams coordination services for the affected population, it is key to restore these services in a timely fashion, while guaranteeing the required QoS levels. To this end, UAV-mounted base stations have been recently proposed as a key instrument to achieve this goal. Nonetheless, this gives rise to the key issue of how to deploy them in a resource efficient manner, in a post-disaster context typically characterized by lack of infrastructure support and of power supply. In this work, we tackle the issue of how to jointly optimize drones deployment and user association in a QOS aware manner to efficiently cater for coverage holes and QoS degradation in a cellular network after a disaster. We formulate a network optimization problem, and we provide a two-step genetic algorithm which iteratively tunes UAV position, base station transmit power and user association in order to minimize the number of employed drones. Initial results on a realistic measurement based scenario show that our approach is able to effectively minimize the number of deployed drones while achieving a target minimum QoS.

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Section: Discussionmentioning

confidence: 99%

Help From Above: UAV-Empowered Network Resiliency in Post-Disaster Scenarios

Esposito

Rizzo

2022

2022 IEEE 19th Annual Consumer Communications &Amp; Networking Conference (CCNC)

Self Cite

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“…Last but not least, in some models, communication between UAVs and rescue vehicles takes place for safe driving and efficient rescue. The UAV-enabled Internet of vehicles (IoV) has been used [138,149,153,177,185] to assist with data sharing and recharging in disaster areas. Studies examining UAV-to-vehicle cooperation are further analyzed in the RCPS subsection.…”

Section: Iotmentioning

confidence: 99%

“…Life searching is usually one of the tasks assigned to UAVs in task assignment operations [133,153,192,193,198,210,219]. In the selected studies, search operations were facilitated by Twitter data [198], data obtained from thermal cameras [141], LiDAR sensors [210], or other types of sensors attached to the searching vehicles [193,206,[210][211][212][213]215] as well as the data from the mobile IoT devices belonging to the victims [139,148,149,155,221]. In most cases, the missing person is assumed to be moving or their mobility status is unspecified and unrelated to the problem formulation at hand, except in [208], where the person was considered immobile.…”

Section: Searchmentioning

confidence: 99%

“…Exact models providing analytical solutions are sparse in our sample, given the fact that many of the problems formulated in the selected studies are nonconvex. The sample also includes convex, optimally and efficiently solved problems, such as [128,149,158,170,188,220]. Nonconvex problems are NP-hard, highly complex, and computationally hard problems, so can be tackled by heuristic solving approaches, including metaheuristics.…”

Section: Optimization Modelsmentioning

confidence: 99%

“…In [151,181], other types of metaheuristics have been proposed. It is worth mentioning that a plethora of game theoretic approaches have been employed [130,137,138,143,149,151,153,192,[194][195][196][197]219,220]. Additionally, MLdriven solutions have been employed in a multitude of complex and analytically intractable optimization models in our sample, which were discussed in the AI subsection.…”

Section: Optimization Modelsmentioning

confidence: 99%

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Complementarity, Interoperability, and Level of Integration of Humanitarian Drones with Emerging Digital Technologies: A State-of-the-Art Systematic Literature Review of Mathematical Models

Aretoulaki

Ponis

Plakas

2023

Drones

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The adoption of drones and other emerging digital technologies (DTs) has proven essential in revolutionizing humanitarian logistics as standalone solutions. However, the interoperability of humanitarian drones with other DTs has not yet been explored. In this study, we performed a systematic literature review to attempt to fill this gap by evaluating 101 mathematical models collected from Scopus. After conducting a descriptive analysis to identify the trends of publications in terms of year, type, source, and country of origin, a content analysis ensued to investigate the complementarity, interoperability, and level of integration of humanitarian drones with eight DTs. Next, we researched how these DTs can help drones exploit their capabilities to their full potential and facilitate the various drone operations deployed across different disaster scenarios, types, and stages. Last, the solving approaches employed by the models were examined. Overall, we shifted our research focus toward several overlooked aspects in the literature and identified multiple challenges needing to be addressed. Our work resulted in the formulation of a holistic framework aiming to standardize the cooperative utilization of DTs during the execution of humanitarian drone operations, so as to enhance their real-life application and scalability.

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