Locating the nodes: cooperative localization in wireless sensor networks

By Neal Patwari, Joshua N. Ash, Spyros Kyperountas, A. Hero, Randolph L. Moses, Neiyer S. Correal. IEEE Signal Processing Magazine, 2005

3,184 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5e58af7715952a35054b8daa89d821255377351d

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Citations in the corpus

Best linear unbiased estimator approach for time-of-arrival based localisation (2008, neutral): “156 & T”
Localization via Ultra- Wideband Radios (2005, neutral): “Positioning in wireless sensor networks is further investigated in [ 19 ], which focuses on cooperative (multihop) localization.”
Location, Localization, and Localizability (2010, background): “A detailed survey on location-based applications can be found in [14-15].”
NLOS identification and mitigation for localization based on UWB experimental data (2010, background): “LOCATION-AWARENESS is fast becoming an essential aspect of wireless sensor networks and will enable a myriad of applications, in both the commercial and the military sectors [1], [2].”
RSS-Based Localization in Wireless Sensor Networks Using Convex Relaxation: Noncooperative and Cooperative Schemes (2015, methodology): “However, solving the ML estimator of the RSS-based localization problem is a very difficult task, because it is highly nonlinear and noncovex [5]; hence, it may have multiple local optima.”
Cooperative Localization in Wireless Networks (2009, background): “The cooperative LS algorithm forms the bas is of the works [30], [46], [47], [49], [52], [53], [55]–[57], [60], as well as variations such as weighted LS, where signal metrics have an associated weight reflecting the quality of t he estimate [106], and regularized LS, where certain location s are pe”
Compressed Sensing for Wireless Communications: Useful Tips and Tricks (2015, background): “In a nutshell, the localization problem is to estimate the position of the t arget nodes using the received signals at multiple APs [72].”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, background): “A conventional WSN that localizes an agent (target) using measurements of received signal strength (RSS), ToA, AoA, and time difference of arrival (TDoA) from anchors (sensing nodes), is a representative system that utilizes information-level fusion [167], [168].”
Computational Intelligence in Wireless Sensor Networks: A Survey (2011, methodology): “Location information is used to detect and record events, or to route packets using geometric-aware routing [17], [18].”
Survey of Wireless Indoor Positioning Techniques and Systems (2007, background): “We refer the readers to [14] for more details about cooperative localization.”
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing (2020, methodology): “Cooperative localization has gained much attention since 2005 owing to the seminal work by Patwari and Hero [23], where they proposed to use the simple least-squares estimation criterion with time-of-arrival (ToA) or received-signal-strength (RSS) measurements to localize dozens of agents.”
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications (2013, background): “For example, object localization based on the received signal strength in cellular networks involves an imprecise likelihood function, because this likelihood depends on imprecisely known path-loss exponent [45].”
A Theoretical Foundation of Network Localization and Navigation (2018, neutral): “[57] N.”