NDLI: Effect of network topology on localization algorithm’s performance

Content Provider	Springer Nature Link
Author	Shahzad, Farrukh Sheltami, Tarek R. Shakshuki, Elhadi M.
Copyright Year	2016
Abstract	Localization is an important part of wireless network design. In many internet of things (IoT) and other applications, the information produced by an individual entity or node is of limited use without knowledge of its location. Not only it is needed to report data that is geographically meaningful, but it is also required for services such as geographic and context-based routing protocols, location-aware services, location of sensed events in the physical world, object or target tracking, coverage area management and disaster event notification, like gas leakage detection system. This work is intended to perform comprehensive study on effects of topology on performance of existing range-free localization algorithms, in particular, localization in anisotropic network (irregular areas due to holes). We extended a simulation framework, written in Python, which is specially designed for wireless network simulation and add an interactive generic topology generator module. Our simulation framework also produces interactive charts, plots, and log all relevant simulation results for further analysis. In the first phase of our research we are interested in establishing a comprehensive simulation framework or guideline by implementing the original Distance Vector or DV-Hop algorithm. We first generate multiple isotropic and anisotropic topologies of different shapes and then simulate the DV-Hop localization algorithm. We then analyze the results statistically and visually. Our proposed contribution in this paper provides a framework and guideline to systematically and statistically study and compare different network algorithms.
Starting Page	445
Ending Page	454
Page Count	10
File Format	PDF
ISSN	18685137
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume Number	7
Issue Number	3
e-ISSN	18685145
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-02-25
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	WSN MANET Range free localization Network topology Internet of things Anisotropic network Computational Intelligence Artificial Intelligence (incl. Robotics) Robotics and Automation User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Article
Subject	Computer Science

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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