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1. Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Adaptive Distributed Outlier Detection for WSNs
Abstract
The paradigm of pervasive computing is gaining more and more attention nowadays, thanks to
the possibility of obtaining precise and continuous monitoring. Ease of deployment and
adaptivity are typically implemented by adopting autonomous and cooperative sensory devices;
however, for such systems to be of any practical use, reliability and fault tolerance must be
guaranteed, for instance by detecting corrupted readings amidst the huge amount of gathered
sensory data. This paper proposes an adaptive distributed Bayesian approach for detecting
outliers in data collected by a wireless sensor network; our algorithm aims at optimizing
classification accuracy, time complexity and communication complexity, and also considering
externally imposed constraints on such conflicting goals. The performed experimental evaluation
showed that our approach is able to improve the considered metrics for latency and energy
consumption, with limited impact on classification accuracy.

2. SYSTEM SPECIFICATION
Software Specification
Operating system : Linux (Ubuntu)
Software : Network Simulator 2.35
Programming languages : Tool Command Language, AWK, C++
Hardware Specification
Main processor : Dual Core
Hard disk capacity : 80GB
Cache memory : 2 GB
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com