Network localization and navigation via cooperation

By Moe Z. Win, Andrea Conti, Santiago Mazuelas, Yuan Shen, Wesley M. Gifford, Davide Dardari, Marco Chiani. IEEE Communications Magazine, 2011

554 citations recorded by the source corpus.

Network localization and navigation give rise to a new paradigm for communications and contextual data collection, enabling a variety of new applications that rely on position information of mobile nodes (agents). The performance of such networks can be significantly improved via the use of cooperation. Therefore, a deep understanding of information exchange and cooperation in the network is crucial for the design of location-aware networks. This article presents an exploration of cooperative network localization and navigation from a theoretical foundation to applications, covering technologies and spatiotemporal cooperative algorithms.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/14435bc9c1839aa142bd005af0cde91c4f745ec7

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “MIMO radar with widely separated antennas) [15], [165], [166].”
A Theoretical Foundation of Network Localization and Navigation (2018, methodology): “In contrast to conventional localization techniques, the network localization and navigation (NLN) paradigm proposed in [1] advocates that agents jointly infer their states (e.”
A Machine Learning Approach to Ranging Error Mitigation for UWB Localization (2012, background): “T HE ability to locate people and assets, to navigate beyond GPS coverage, and to tag sensor data with geographical information will enable a myriad of applications, in both the commercial and the military sectors [1]–[4].”
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing (2020, background): “Representative works include [24, 25, 26, 27, 28, 29], to mention a few.”
Message Passing Algorithms for Scalable Multitarget Tracking (2018, unknown): “Possible directions of future research include an extension of the network localization and navigation (NLN) paradigm [160]–[164] to noncollaborative objects; a combination of MTT with resource allocation, sensor selection, and control [165]–[172]; network experimentation [173]–[175] with noncollabo”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, methodology): “Reviews on localization methods in WSN carried out in the works [14], [17], [23], [24].”
Indoor Tracking: Theory, Methods, and Technologies (2015, background): “Recent results on the PCRB and other bounds can be found, for example, in [14] and [15].”