Device-to-Device Discovery and Localization Assisted by UAVs in Pervasive Public Safety Networks

Masood, Ali; Sharma, Navuday; Alam, Muhammad Mahtab; Moullec, Yannick Le; Scazzoli, Davide; Reggiani, Luca; Magarini, Maurizio; Ahmad, Rizwan

doi:10.1145/3331053.3335031

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…DD and localization supported by UAVs in prevalent public safety systems are suggested in [50]. In this article direct discovery is performed using proximity services and in the absence of core network like in disaster situation discovery signal is transmitted over UAV to device link.…”

Section: B Recent Advances In Dd Methodologiesmentioning

confidence: 99%

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Device Discovery in D2D Communication: A Survey

et al. 2019

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Device to Device (D2D) communication was first considered in out-band to manage energy issues in the wireless sensor networks. The primary target was to secure information about system topology for successive communication. Now the D2D communication has been legitimated in in-band by the 3rd Generation Partnership Project (3GPP). To initiate D2D communication, Device Discovery (DD) is a primary task and every D2D application benefits from DD as an end to end link maintenance and data relay when the direct path is obstructed. The DD is facing new difficulties because of the mobility of the devices over static systems, and the mobility makes it more challenging for D2D communication. For in-band D2D, DD in a single cell and multi-cell, and dense area is not legitimated properly, causing latency, inaccuracy, and energy consumption. Among extensive studies on limiting energy consumption and latency, DD is one of the essential parts concentrating on access and communication. In this paper, a comprehensive survey on DD challenges, for example single cell/multi-cell and dense area DD, energy consumption during discovery, discovery delay, and discovery security, etc., has been presented to accomplish an effective paradigm of D2D networks. In order to undertake the device (user) needs, an architecture has been projected, which promises to overwhelm the various implementation challenges of DD. The paper mainly focuses on DD taxonomy and classification with an emphasis on discovery procedures and algorithms, a summary of advances and issues, and ways for potential enhancements. For ensuring a secure DD and D2D, auspicious research directions have been proposed, based on taxonomy.

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Section: B Recent Advances In Dd Methodologiesmentioning

confidence: 99%

“…Simulation results are considered based on MUSIC algorithm and achieve maximum accuracy. Moreover, performance results are calculated by the throughput and packet error rate [50]. A social aware using deep learning DD mechanism is proposed in [51], where the social aware relationship is applied.…”

Section: B Recent Advances In Dd Methodologiesmentioning

confidence: 99%

Device Discovery in D2D Communication: A Survey

et al. 2019

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“…Therefore, proximal device discovery is a key initial phase for the initialization of D2D communication in the cellular system. Device proximal knowledge is essential for data routing algorithms, medium access control algorithms, and D2D network formation algorithms to work correctly and efficiently [4,5]. Many device discoveries schemes have been proposed in D2D communication, but the main issues are discovered device synchronization, discovery delay, energy consumption, and discovery accuracy.…”

Section: Introductionmentioning

confidence: 99%

Bat echolocation-based algorithm for device discovery in D2D communication

2020

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Proximal device discovery is an essential initial phase in the installment of a device-to-device communication system in cellular networks. Therefore, an efficient device discovery scheme must be proposed with characteristics of minimum latency, discover maximum devices, and energy-efficient discovery in dense areas. In this paper, a bat echolocationbased algorithm derived from the bat algorithm is proposed and analyzed to fulfill the requirement of a proximal device discovery procedure for the cellular networks. The algorithm is applied to multiple hops and cluster devices when they are in a poor coverage zone. In this proposed algorithm, devices are not required to have prior knowledge of proximal devices, nor device synchronization is needed. It allows devices to start discovering instantly at any time and terminate the proximal device discovery session on completion of the discovery of the required proximal devices. Finally, device feedback is utilized to discover the hop devices in the clusters and analyze proximal discovery in a multi-hop setting. Along with this, a random device mobility pattern is defined based on human movement, and the device discovery algorithm is applied. The device discovery probability is calculated based on the contact duration and meeting time of the devices. We set up an upper bound less than 10 ms in long-term evolution of running time of the bat echolocationbased algorithm; this upper bound signifies the maximum degree of device discovery (more than 75% of the system) and the total number of devices. The outcomes thus imply that the proposed bat echolocation-based algorithm upper bound is better than 10 ms.

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“…Unmanned Aerial Vehicles (UAVs) have attracted great research and commercial interest due to their unique attributes to establish resilient and reliable communication during public safety threatening events [1], such as natural disasters and terrorist attacks. The UAVs are characterized by line-of-sight (LoS) communication links due to their ability to hover above a disaster-struck area, maneuver and adapt their altitude, as well as by several other additional degrees of freedom due to their controlled mobility [2].…”

Section: Introductionmentioning

confidence: 99%

Risk-Aware Resource Management in Public Safety Networks

Vamvakas

Tsiropoulou

Papavassiliou

2019

Sensors

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Modern Public Safety Networks (PSNs) are assisted by Unmanned Aerial Vehicles (UAVs) to provide a resilient communication paradigm during catastrophic events. In this context, we propose a distributed user-centric risk-aware resource management framework in UAV-assisted PSNs supported by both a static UAV and a mobile UAV. The mobile UAV is entitled to a larger portion of the available spectrum due to its capability and flexibility to re-position itself, and therefore establish better communication channel conditions to the users, compared to the static UAV. However, the potential over-exploitation of the mobile UAV-based communication by the users may lead to the mobile UAV’s failure to serve the users due to the increased levels of interference, consequently introducing risk in the user decisions. To capture this uncertainty, we follow the principles of Prospect Theory and design a user’s prospect-theoretic utility function that reflects user’s risk-aware behavior regarding its transmission power investment to the static and/or mobile UAV-based communication option. A non-cooperative game among the users is formulated, where each user determines its power investment strategy to the two available communication choices in order to maximize its expected prospect-theoretic utility. The existence and uniqueness of a Pure Nash Equilibrium (PNE) is proven and the convergence of the users’ strategies to it is shown. An iterative distributed and low-complexity algorithm is introduced to determine the PNE. The performance of the proposed user-centric risk-aware resource management framework in terms of users’ achievable data rate and spectrum utilization, is achieved via modeling and simulation. Furthermore, its superiority and benefits are demonstrated, by comparing its performance against other existing approaches with regards to UAV selection and spectrum utilization.

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Device-to-Device Discovery and Localization Assisted by UAVs in Pervasive Public Safety Networks

Cited by 15 publications

References 11 publications

Device Discovery in D2D Communication: A Survey

Device Discovery in D2D Communication: A Survey

Bat echolocation-based algorithm for device discovery in D2D communication

Risk-Aware Resource Management in Public Safety Networks

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