The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 32-547
Full Name: Adnan Ashraf
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: Mehran University of Engineering and Technology
Country: PAKISTAN
Tel: 00923213008224
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E-mail address: adnanlooking@ieee.org
Other E-mails: adnanlooking@gmail.com
Title of the Paper: Discrete Assessment of Security in Wireless Sensor using SNR
Authors as they appear in the Paper: Adnan Ashraf, Manzoor Hashmani, Marvie Mussadiq, B.S. Chowdhry
Email addresses of all the authors: adnanlooking@gmail.com,marvielooking@yahoo.com,arain.adnan@gmail.com,yoursdoc@hotmail.com
Number of paper pages: 11
Abstract: Security in wireless sensor networks (WSNs) is usually thought as privacy, auditing, intrusion detection and protection. In general, the quality of signal processing is considered as issue of middleware layers. The higher values of signal to noise ratio (SNR) are vital for target detection and estimation which is the most critical objective of WSN. Despite of the fact that SNR has a significant impact on objectives of WSN, not much investigation is found in literature about SNR and its security impact on such networks. The entire WSN can be rendered as useless due to SNR degradation and therefore, SNR is a prevailing security threat in WSNs. In the light of modern concepts of security, the safety should accompany the availability, scalability, efficiency and the quality parameters of inter-node communication. We show that SNR can identify suspicious activities which can exploit the performance and quality of communication in a sensor network. Also, by varying range!
of transmission radii and observing its impact on SNR we demonstrate that SNR-values, SNRvariance and pre-defined network threshold of SNR-variance, together can be useful in security assessment of WSN.
Keywords: Security Assessment, Digital Estimation, Signal to Noise Ratio or SNR, Wireless Sensor Network
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