Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Wireless Sensor Network (WSN), are spatially distributed autonomous sensors to monitor physical and environmental conditions, such as temperature, sound, pressure, etc and to co-operatively pass their data through the network to other locations. The application of WSN includes health, military, environment, home & other commercial areas and tracking & monitoring sectors. Monitoring often needs protection. Source Location Privacy (SLP) in sensors network means the locations of events detected by sensors nodes is properly protected such that only authorized entities, for example, the sink of the network, can obtain the information. Source location privacy is one of an important security issue and have many factors that influence the effectiveness of a solution. Preserving source location in sensor network is challenging mainly due to the limited resources available in sensor network which requires highly efficient privacy preservation mechanism. In this project, we are proposing two phantom techniques i.e., Edge Based Strain Smoothing and 2-Phantom Angle Based Routing (2-PAR) is being studied for monitoring Source Location Privacy in WSN. In standard phantom nodes method, the cracks are created and it is formulated by adding phantom nodes and cracked elements are replaced by two new superimposed elements. This technique is simple to implement into existing Explicit Standard Finite Elements (ES-FEM) which leads to certain simplification with existing nodes. Taking the advantage of phantom node & ES-FEM, we introduce an Edge Based Strain Smoothing technique for the phantom method. The studies have established that this technique provides high accuracy compared to other methods. Another technique is 2-PAR. 2-PAR is designed to improve source location privacy. This scheme considers a triplet for selecting the phantom nodes. A triplet is a group of three nodes formed on the basis of their distance from sink, their location information & the inclination angle between them. For every packet transmission, selection of phantom is performed thereby creating alternative paths is done. As the path changes dynamically, the safety period increases without significant increase in packet latency. As a result, this technique provides better performance in terms of safety period compared to single phantom routing. Simulation results will be demonstrated is carried out using NS3 simulator.
Keywords:
Wireless Sensor Networks (WSN), Source Location Privacy(SLP), Edge Based Strain Smoothing, 2-Phantom Angle Based Routing(2-PAR), Explicit Standard Finite Elements(ES-FEM).
Cite Article:
"Source Location Privacy Using multiple Phantom Nodes in WSN", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 5, page no.156 - 162, May-2018, Available :http://www.ijrti.org/papers/IJRTI1805028.pdf
Downloads:
000205089
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator