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Localization in Wireless Sensor Networks

Ahmed Emam

on 1 June 2013

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Transcript of WSN

Localization in WSN What Why Problem Definition Localization-Basics Difference between Localization Measurement Techniques and Algorithms Localization Measurement Techniques Angle of Arrival Measurements Distance Related Measurements RSS Profiling Techniques Amplitude Response Phase Response Time Related RSS Light House Offline Map Online Map Algorithms Range Based Algorithms Range Free Algorithms AOA Amplitude Response Phase Response Distance Related Measurements TOA TDOA RSS Light House Approach RSS Profiling Works by constructing a Map of the signal strength behavior in the Coverage Area Online Map Offline Map Algorithms Localization Methods Information Requirements Network Structure Hardware Requirements Proximity based Range based Probabilistic based Absolute Localization Relative Localization Static Mobile Range Based Algorithms Min - Max Multilateration Ring Overlapping Circles Maximum Likelihood Range Free Algorithms Optimum DV-Hop Algorithm GPS - Free Algorithm DV-Hop Algorithm Small amount of Anchor Nodes Steps: Anchor Nodes - Broadcast Average Hop Size Blindfolded Nodes - Calculate physical Distance Optimization: Triangulation Algorithm GPS-free Algorithm Assumptions Phase 1
Local coordinates Phase 2
Global Coordinates All sensors are stationary. So the network topology is fixed.

There are no landmarks in the network.

All sensors are homogeneous, with the same technical characteristics, and especially the same transmission range.

All sensors have enough energy to accomplish a node localization algorithm.

All sensors use omnidirectional antennae.

All the wireless links between sensors are bidirectional.

There are no base stations to coordinate or supervise activities among sensors. No centralized controller. Some Considerations Global Coordinate System - via Transformation Matrix (Affine Transformation) Flip Ambiguity Conclusions Energy Consumption Basics Additional Algorithms 3D Algorithm - SWARM Optimization Heuristic Method for Localization Two Objective HS for distance and connectivity based Localization Node Capture Attack and Defense Applications Underwater Healthcare Cattle Monitoring Outline Introduction
Localization Techniques
Localization Algorithms
State of the Art Algorithms
Conclusions Choosing the Localization Algorithm is highly affected by the Application and the Available Resources. Real-life applications involve 3D and hence more realistic Algorithms are still required. Most Researchers are targeting the Anchor Free Algorithms and enhancing their accuracy, in addition to possible 3D realization. By: Eng. Ahmed Emam Presented to : Dr. Ahmed Akl [1] B. F. ,. B. D. A. Guoqiang Mao, "Wireless sensor network localization techniques," Computer Networks, vol. 51, pp. 2529 - 2553, 2007.
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