Distance Based Fault detection in wirelesssensor network
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 5
Abstract
Wireless Sensor Network (WSNs) have become a new information collection and monitoring solution for a variety of application. In WSN, sensor nodes have strong hardware and software restriction in terms of processing power, memory capability, power supply and communication throughput. Due to these restrictions, fault may occur in sensor. This paper presents a distance based fault detection (DBFD) method for wireless sensor network using the average of confidence level and sensed data of sensor node. Simulation results show that sensor nodes with permanent faults and without fault which was judged as faulty are identified with high accuracy for a wide range of fault rate, and keep false alarm rate for different levels of sensor fault model and also correct nodes are identified by accuracy.
Authors and Affiliations
Ayasha Siddiqua , Shikha Swaroop , Prashant Krishan , Sandip Mandal
Keywords
Related Articles
- EP ID EP135783
- DOI -
- Views 110
- Downloads 0
Incorporation of FACTS Controllers in Newton Raphson Load Flow for Power Flow Operation, Control and Planning: A omprehensive Survey
This paper presents a comprehensive survey of incorporation of FACTS controller such as SVC, TCSC, SSSC, STATCOM, UPFC, and IPFC devices in Newton- Raphson load flow (NRFL) for power flow control. The purpose of this pap...
A VIEW ON SECURE ROUTING IN ADHOC NETWORKS
In our proposed research work different security attacks from the perspective of layer approach are identified. The impacts of security attacks on each layer are studied. Then we focus on security attacks on network laye...
Optimization of ETL Work Flow in Data Warehouse
ETL is responsible for extracting the information or data from different several Areas and applies some cleaning, customization, transformation function for data and finally loading into the data warehouse. This paper pr...
Shodhika Bhashini Multilingual Search and TTS System
This paper presents a multilingual search engine and text to speech system (TTS) developed to help hands-busy and visually impaired/aged people. Wide spread use of computers and Internet for the last two decades has made...
A Review of Feature Selection Algorithms for Data Mining Techniques
Feature selection is a pre-processing step, used to improve the mining performance by reducing data dimensionality. Even though there exists a number of feature selection algorithms, still it is an active research area i...