Work place: Department of Computer Science and Engineering, BIET, Jhansi (U.P.), India
E-mail: solankibiet13@gmail.com
Website:
Research Interests: Data Mining, World Wide Web
Biography
Dr. A. K. Solanki Prof. & Head Information Technology Deptt in Bundelkhand Institute of Engineering & Technology, Jhansi [U.P], India, has obtained his Ph.D degree in Computer Science & Engineering from Bundelkhand University, Jhansi. He has more than 28 years teaching Experience. Prof. Solanki has also appointed as an Executive Committee Member of National Executive Council of Indian Society of Technical Education (ISTE) for three years 2009-2012 for Utter Pradesh and Uttrakhand region. Now currently he is the Section Chairman of Utter Pradesh and Uttrakhand region of Indian Society of Technical Education (ISTE) for three years 2012-2017. He is a member of BOS/RDC in many Universities and also member of Selection & Inspection Committee of AICTE/UPTU and other Universities. He has published a good numbers of International & National research papers in area of Data warehousing, web Mining, Wireless Communication.
By Sunil Kumar C. Rama Krishna A. K. Solanki
DOI: https://doi.org/10.5815/ijcnis.2017.11.02, Pub. Date: 8 Nov. 2017
Data losses in wireless sensor network (WSN) commonly occur due to diverse transmission errors such as hardware or software limitations, channel congestion, network coverage constraint and transmission delay. Another important cause for data loss is distinct security attacks caused by illegal interferences of illicit third parties. Apart from that data loss may occur due to some unforeseen causes too. A number of efforts have been made in WSN to control such types of data loss during the transmission process individually or along with various combinations. However, none of them are capable of addressing each of the mentioned cause of data loss in WSN environment. Henceforth, we have proposed an error resistant technique for WSN to address all of the mentioned causes for data loss. The proposed technique also offers a backup system for the accidental data losses. The experimental results shows that the proposed technique offers minimum data loss during the communication process by offering higher Signal to Noise Ratio (SNR) and low Information Loss compared to the other existing error control techniques. The time efficiency can also be justified by its high Throughput and complexity can be verified by measuring Cyclomatic Complexity.
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