Wireless sensor network localization techniques

  title={Wireless sensor network localization techniques},
  author={Guoqiang Mao and Barış Fidan and Brian. D. O. Anderson},
  journal={Comput. Networks},
Localization Techniques in Wireless Sensor Network: A Survey
The problem localization is discussed and review has been done on the localization techniques and the location of collected data is obtained by using localization techniques in Wireless Sensor Networks.
Localization Techniques in Wireless Sensor Networks
In this paper, sensor node architecture and its applications, different localization techniques, and few possible future research directions are discussed.
An overview of localization techniques for Wireless Sensor Networks
An overview of the major localization techniques for WSNs is presented and the factors that need to be considered when selecting a localization technique are concentrated on.
Improved Range Localization in Wireless Sensor Networks: A Survey
The localization area for improving the range of wireless sensor network is discussed and there is no need of additional hardware for improve range of localization.
Exploring Localization in Wireless Sensor Networks
This paper covers the localization techniques and study which algorithm provides higher accuracy, low expense and better power utilization.
A Survey on Localization Algorithms in Wireless Sensor Networks
In this paper, the localization algorithms are classified on the basis of the way to get position information, and a simple analysis is present.
Localization in Wireless Sensor Networks
This study finds that no single best algorithm for localization exists to date, and first studied the properties and methods of localization in general, followed by properties and algorithms specific to WSNs.
A Review on Localization Algorithms in Wireless Sensor Networks
This paper provides a review of basic techniques for localization, classified into GPS based or GPS free, Anchor based or Anchor free, Centralized or Distributed and Range based or range free.
Wireless Sensor Network Localization Based on BAT Algorithm
The bat algorithm is implemented to estimate the sensor's position and the goal of localization is to assign geographical coordinates to each device with unknown position in the deployment area.
Wireless Sensor Networks Localization
This chapter includes a classification and overview of the most popular localization techniques in each phase, also high lighting the problems of these techniques and their solutions in such a way that helps in understanding localization concepts especially with respect to WSN localization.


Localization in sensor networks with fading and mobility
  • P. Bergamo, G. Mazzini
  • Computer Science
    The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
  • 2002
The paper shows the effectiveness of the proposed scheme to perform localization, based on the estimation of the power received by only two beacons placed in known positions, in different environments, by including the possible disturbance due to fading channels and sensor mobility.
Locating the nodes: cooperative localization in wireless sensor networks
Using the models, the authors have shown the calculation of a Cramer-Rao bound (CRB) on the location estimation precision possible for a given set of measurements in wireless sensor networks.
Simulated annealing based localization in wireless sensor network
Simulation results show that this scheme gives accurate and consistent location estimates of the nodes and can bring the convergence out of the local minima in a controlled fashion.
An analysis of error inducing parameters in multihop sensor node localization
The Crame Rao Bound for Gaussian measurement error for multihop localization systems is derived using distance and angular measurements and used to study the trends in the error induced by the measurement technology accuracy, network density, beacon node concentration, and beacon uncertainty.
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
A distributed algorithm for determining the positions of nodes in an ad-hoc, wireless sensor network is explained in detail and shows that, given an average connectivity of at least 12 nodes and 10% anchors, the algorithm performs well with up to 40% errors in distance measurements.
Relative location estimation in wireless sensor networks
This work derives CRBs and maximum-likelihood estimators (MLEs) under Gaussian and log-normal models for the TOA and RSS measurements, respectively for sensor location estimation when sensors measure received signal strength or time-of-arrival between themselves and neighboring sensors.
Distributed localization in wireless sensor networks: a quantitative compariso
Localization with Imprecise Distance Information in Sensor Networks
An approach to formulate geometric relations among distances between nodes as equality constraints is introduced in this paper to study the localization problem with imprecise distance information in
Sensor network localization with imprecise distances
Statistical theory of DF finding
  • Journal of IEE 94 (5)
  • 1947