UAVs-assisted passive source localization using robust TDOA ranging for search and rescue

Khalil, Ruhul Amin; Saeed, Nasir; Almutiry, Muhannad

doi:10.1016/j.icte.2022.04.011

Cited by 19 publications

(3 citation statements)

References 21 publications

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“…4) Cooperative Target Localization: Accurate localization brings significant advantages for target indication, aerial filming, data sensing, and air-to-ground attacks [121]. Collaborative UAVs communication helps identify the target in reduced time with better position accuracy [122]. Therefore, various methods have been introduced in the literature to enable collaborative UAVs localization with reduced communication delay and packet loss.…”

Section: Collaborative Taskingmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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The recent progress in unmanned aerial vehicles (UAV) technology has significantly advanced UAV-based applications for military, civil, and commercial domains. Nevertheless, the challenges of establishing high-speed communication links, flexible control strategies, and developing efficient collaborative decision-making algorithms for a swarm of UAVs limit their autonomy, robustness, and reliability. Thus, a growing focus has been witnessed on collaborative communication to allow a swarm of UAVs to coordinate and communicate autonomously for the cooperative completion of tasks in a short time with improved efficiency and reliability. This work presents a comprehensive review of collaborative communication in a multi-UAV system. We thoroughly discuss the characteristics of intelligent UAVs and their communication and control requirements for autonomous collaboration and coordination. Moreover, we review various UAV collaboration tasks, summarize the applications of UAV swarm networks for dense urban environments and present the use case scenarios to highlight the current developments of UAV-based applications in various domains. Finally, we identify several exciting future research direction that needs attention for advancing the research in collaborative UAVs.

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Section: Collaborative Taskingmentioning

confidence: 99%

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Javaid¹,

Saeed²,

Qadir³

et al. 2023

Preprint

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“…Humans affected by a disaster must be rescued within the so-called golden 72 hours after the disaster. In this context, localization plays a major role in emergency scenarios, especially when a considerable percentage of the victims are trapped [120]. It is evident that localizing the victims becomes much more challenging if they are trapped under rubble in case of earthquakes or covered by the smoke of a fire.…”

Section: Localizationmentioning

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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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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“…Localization within ISAC-based smart cities can be achieved through various ranging techniques, including the angle of arrival (AOA), TOA, time difference of arrival (TDOA), and RSS methods [23][24][25]. Among these, the RSS-based approach has been considered the most popular ranging technique based on its cost-effectiveness and ease of implementation.…”

Section: Introductionmentioning

confidence: 99%

Robust ISAC Localization in Smart Cities: A Hybrid Network Approach for NLOS Challenges with Uncertain Parameters

Althobaiti,

Khalil,

Saeed

2023

JSAN

Self Cite

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Accurate localization holds paramount importance across many applications within the context of smart cities, particularly in vehicular communication systems, the Internet of Things, and Integrated Sensing and Communication (ISAC) technologies. Nonetheless, achieving precise localization remains a persistent challenge, primarily attributed to the prevalence of non-line-of-sight (NLOS) conditions and the presence of uncertainties surrounding key wireless transmission parameters. This paper presents a comprehensive framework tailored to address the intricate task of localizing multiple nodes within ISAC systems significantly impacted by pervasive NLOS conditions and the ambiguity of transmission parameters. The proposed methodology integrates received signal strength (RSS) and time-of-arrival (TOA) measurements as a strategic response to effectively overcome these substantial challenges, even in situations where the precise values of transmitting power and temporal information remain elusive. An approximation approach is judiciously employed to facilitate the inherent non-convex and NP-hard nature of the original estimation problem, resulting in a notable transformation, rendering the problem amenable to a convex optimization paradigm. The comprehensive array of simulations conducted within this study corroborates the efficacy of the proposed hybrid cooperative localization method by underscoring its superior performance relative to conventional approaches relying solely on RSS or TOA measurements. This enhancement in localization accuracy in ISAC systems holds promise in the intricate urban landscape of smart cities, offering substantial contributions to infrastructure optimization and service efficiency.

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UAVs-assisted passive source localization using robust TDOA ranging for search and rescue

Cited by 19 publications

References 21 publications

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

Communication and Control in Collaborative UAVs: Recent Advances and Future Trends

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

Robust ISAC Localization in Smart Cities: A Hybrid Network Approach for NLOS Challenges with Uncertain Parameters

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