Distributed localization in wireless sensor networks: a quantitative compariso

By Koen Langendoen, Niels Reijers. Comput. Networks, 2003

1,120 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/258aa0ca5519c9576760ef66bf4638125577502d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

In Ocean Engineering

Citations in the corpus

A practical evaluation of radio signal strength for ranging-based localization (2007, background): “a significant impact on many localization algorithms [35, 16].”
Consensus-Based Distributed Support Vector Machines (2010, methodology): “(Each sensor knows its positionx j using existing self-localization algorithms Langendoen and Reijers, 2003.)”
A Survey of Architectures and Localization Techniques for Underwater Acoustic Sensor Networks (2011, background): “Localization has also been widely studied in the WSN context and detailed surveys of these techniques have been presented in [12] and [42].”
The feasibility of launching and detecting jamming attacks in wireless networks (2005, methodology): “The LOC_Detect_Jam protocol requires the support of a localization infrastructure, such as GPS [7], or other localization techniques [3,19,22], which provides location information to wireless devices.”
Indoor Localization System using RSSI Measurement of Wireless Sensor Network based on ZigBee Standard (2006, neutral): “Keywords performance evaluation, localization, RSSI, ZigBee”
Simulating wireless and mobile networks in OMNeT++ the MiXiM vision (2008, background): “Positif targets static wireless networks and contains the algorithms discussed in [13] as well as a statistics based algorithm [17].”
Indoor Tracking: Theory, Methods, and Technologies (2015, methodology): “One method is counting the number of hops necessary to reach a speciﬁc node starting from another node in the network and derive a rough estimate of the distance by evaluating the average hop length, as proposed in the DV-hop algorithm [88].”
Nonparametric belief propagation for self-localization of sensor networks (2005, methodology): “A large number of methods have been previously proposed to estimate sensor locations [7], [9]–[13].”
Recent and Emerging Topics in Wireless Industrial Communications: A Selection (2008, background): “The design of both localization protocols [69], [70] and time synchronization protocols [71]–[74] is challenged by the lack of GPS receivers for reasons of costs, form factor and energy consumption of such devices.”
Wireless sensor network localization techniques (2007, background): “In [97] the performances of the three algorithms and some variants of them were compared and it was concluded that the algorithms have comparable performance and which algorithm has better accuracy depends on the specific application conditions such as distance measurement error, vertex degree and p”
Energy conservation in wireless sensor networks: A survey (2009, neutral): “In this case, it would be enough to equip only a limited subset of nodes with a GPS, and then derive the location of the other ones by means of other techniques [80].”