Alonshia S

W/O G. Elayaraja

No: **B, *nd Street Kannan Nagar,

Opp Kunthavai Nachiyar College,

Thanjavur- 613007, Tamilnadu, India

Email:advf1j@r.postjobfree.com advf1j@r.postjobfree.com

Cell: 861*******

Intend to work with commitment and dedication in any given situation to add value to the success of the organization by applying Experience knowledge and personal strength.

1

Ph. D., CS

Bharathidasan University, Trichy, Tamilnadu, India

2021

Dissertation “Integrated Target Tracking and Data Collection Techniques for Efficient Wireless Sensor Networks”

2

M. Phil., CS

Tamil University, Thanjavur, Tamilnadu, India

2014

Research Titles “Security Analysis Using Batch Verification Scheme”

3

M. Sc., (IT)

Marudhu Pandiyar College, Thanjavur, Tamilnadu, India

2011

Titles “Towards Secure Mobile Payment Based on Session Initiation Protocol”

4

B. Sc., (IT)

Marudhu Pandiyar College, Thanjavur, Tamilnadu, India

2009

5

12th Std

Sacred heart Girls Higher Secondary School, Thanjavur, Tamilnadu, India

2006

6

10th Std

Sacred heart Girls Higher Secondary School, Thanjavur, Tamilnadu, India

2004

Annai Valankanni Arts and Science College, Thanjavur, Tamilnadu, India

Assistant Professor

15th Nov 2021 to Till Date

Annai Valankanni Arts and Science College, Thanjavur, Tamilnadu, India

Assistant Professor

2015 (7 month)

Vetri Software India PVT. LTD, Thanjavur, Tamilnadu, India

Junior Processor

2008 (6 month)

PAPER PUBLICATIONS:

1.Optimized target tracking using heuristics base dispensed advert-oriented algorithm “Microprocessors and Microsystems”, Elsevier Publishers. 5th January 2021(On Press), (SCI indexed, Web of Science, Computer Abstracts, Engineering Index, Current Technology Index, Scopus, UGC CARE II LIST).

2.Bayesian Localized Energy Optimized Sensor Distribution for Efficient Target Tracking, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-12, Oct 2019 (Scopus indexed).

3.Quality Based Drip Drag Match Data Collection in Wireless Sensor Network, International Journal of Engineering and Technology, 2018, Science Publishing Corporation. ISSN 2347-8616.

4.Energy Efficient Target Tracking and Data Collection in Wireless Sensor Network, International Journal of Applied Engineering Research ISSN 0973-4562, 2017, Research India Publications. (Scopus indexed).

5.Designing Routing Protocol in WSN With Data Integrity and Delay Differential Services, International Journal of Innovations & Advancement in Computer Science (IJIACS) ISSN 2347 – 8616, February 2017 Academic Science.

6.International journal of engineering and computer science, “Security Analysis Using Batch Verification Scheme”. Online ISSN: 2319- 7242, Vol- 2, Issue- 9, Sep- 2013, www.ijecs.in.

7.International journal of science, Engineering and Technology Research, “Device Management designed for loss of visibility and control using BYOD”. Online ISSN: 2278- 7798, Vol-2, Issue- 10, Oct- 2013, www.ijsetr.org.

CHAPTER PUBLICATION:

1.Book Title: Modeling Methods for Business Information Systems Analysis and Design

Chapter1- Title “Bayesian Localized Energy Optimized Sensor Distribution for Efficient Target Tracking”, ISBN13: 978**********/ ISBN10: 152*******/ EISBN13: 978**********/ ISBN13 Softcover: 978**********, IGI Global Publisher, DOI: 10.4018/978-1-5225-5522-3, 2018.

CONFERENCES:

1.International Conference on Innovative Research in Engineering and Science, “Quality Based Drip Drag Match Data Collection in Wireless Sensor Network”, 16-17 June 2017.

2.Research in Engineering, Science, Management and Humanities Conference (ICIRESMH- 2017), “Designing Routing Protocol in WSN with Data Integrity and Delay Differential Services”, 19 Feb 2017.

3.Annapoorana Engineering College, “NCCSIS’13- 2nd “One day National Conference on Computer Science and Intelligent System, “Network Coding for Content Verification Using Homomorphic Hashing”, Oct-2013.

4.Mother Terasa College of Engineering & Technology, “RAT 2013” National Conference on Recent Advancement and Cloud”, “Loss of Visibility control created By IT Consumerization and Cloud”, Feb- 2013.

1.Bharathidasan University, One day “World Class Curriculum in Computer Science- Consultative Workshop”, 16th February 2016.

2.Bharathidasan University, International workshop on “World Class Curriculum Design for Computer Science” (Sponsored by Department of Higher Education, Govt. of Tamil Nadu), 28th July 2017.

1.One day National seminar on “Recent Trends in Computer Science”, Organized by School of Computer Science, Engineering & Applications, Bharathidasan University, 03rd February 2016.

2.Seminar on “Importance of Statistical Design & Experiments in Computational Research”, Organized by School of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli, (Under UGC- XII Plan), 23rd February 2016.

3.One day seminar on “Cyber Security and Ethical Hacking”, Organized by School of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli, (Sponsored by DST- PURSE, Govt. of India), 01st March 2018.

4.One day international seminar on “Recent Concepts in Big Data Analytics and Internet of Things”, organized by School of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli, (Sponsored by DST- PURSE, Govt. of India), 20th March 2018.

1.One day National level Workshop on “Semantic Web Technology Using Protégé Tool” organized by Annai Valankanni Arts & Science College, Thanjavur, on 24th February 2016.

2.Three-day International Workshop on Data Science Open-Source Languages (DSOSL 2017) held at Bharathidasan University, Tiruchirappalli on 4th – 6th January 2017.

3.One day International Workshop on “World Class Curriculum Design for Computer Science with Research Aspects”, organized by Department of Computer Science, Engineering & Applications, Bharathidasan University, Tiruchirappalli on 15th November 2017.

Languages Known: Tamil- Native Language, English (IELTS Core- 4.5)

Computer Programming Languages: C, C++, Java

Typing English (Lower)

Article Writing

Karate

Cooking

Reading Books

Area of Interest- Network Security, Wireless Sensor Networks.

Name :

S. Alonshia

Date of Birth :

21.05.1989

Age :

32

Designation :

Assistant Professor

Gender :

Female

Martial Status :

Married

Children Details :

03- Female

Name of the Childs :

E. Thanshika (Age- 13)

E. Saivarshni (Age- 06)

E. Smithisandra (Age- 04)

Nationality :

Indian

Religion :

RC- Christian & BC- Vellanchettiyar

Spouse Name :

G. Elayaraja

Spouse Qualification :

M. Sc., (Bio Technology)

Spouse Profession :

Business

I hereby declare that the all the above statements are true and correct to the best of my knowledge and belief.

Place: Thanjavur Yours Faithfully

Date:

(S. ALONSHIA)

I. Outline of our Previous Work

Wireless Sensor Networks (WSNs) has received much attention and emerge research area in which many topics are involved such as energy consumption, routing algorithms and selection of sensors and so forth. There are so many applications are available in WSNs but in all case the main objective is to keep always the WSN alive and function as possible. There is the focus on recent works in delays, computational complexity and increased total data transmitted, the transfer of sensor nodes for multiple data collection sensed nodes in the WSNs is a major challenge. To avoid the transfer of sensor nodes to multiple data collections, a Quality-Based Drip-Drag-Match Data Collection (QDDM-DC) scheme is proposed and the target prediction scheme is derived from probability theory that improves kinetic rules and energy efficiency. The face tracking structure identifies the movements of the target with polygonal tracking. However, target tracking energy-efficiency is not sufficient to monitor applications. In this work, the sensor node aims to achieve the highest quality of service with high energy efficiency and maximum performance on data communication. Many applications in the wireless sensor network perform localization of nodes over a long period of time. However, the optimal selection algorithm presents new challenges to the overall transmission power levels for target detection, thus necessitating localized energy optimized sensor management strategies to improve the accuracy of target tracking. In addition, such sensor management strategies are required to provide an energy consumption model regardless of the proposed work target time for developing the Bayesian Localized Energy Optimized Sensor Distribution (BLEOSD) techniques for efficient target monitoring in the WSN. The sensor node localization is done with Bayesian average, which evaluates the energy optimization of the sensor nodes. The Bayesian average power level of the sensor network is compared with the power of each sensor node. The performance of BLEOSD is evaluated by parameters such as target tracking accuracy, power consumption rate, localized node density, and time for target tracking. WSN and target tracking are two of the best areas of research among researchers, with some selected sensor nodes tracking interesting targets under surveillance. The proposed Heuristics-base-Dispensed-Advert-Oriented (HBDAO) techniques have shown better results in experiments in simulated environments than existing margin detection techniques. This model also contributes to the precise handling, management and delay avoidance achieved throughout and the precise way of tracking with high energy efficiency.

II. Outline of The Proposed Program of Research

My research work had been ensured to improve the throughput and quality of the data collection at the sink node. Extensive simulation is carried out to evaluate the proposed scheme and data delivery method. It shows that it significantly outperforms two traditional data collection methods. The target tracking and data collection are used to Standard metrics are used for evaluation and their validation results reveal that the target tracking accuracy is better and accurate than other reported techniques with high throughput and high energy efficient attain better QoS with a high energy efficient and maximal throughput on sensor node data communication. A small test bed and the simulation results on BLEOSD scheme demonstrate that by applying Bayesian Sensor Node Localization algorithm can significantly improve the target tracking accuracy and decrease the energy consumption rate by comparing average energy with the energy of each sensor node. BLEOSD scheme also ensuring tracking accuracy at less time interval because only single hop sensor node distribution strategy is applied, which simplifies the implementation. HBDAO was proposed based on the concept of energy efficient edge node detection level to satisfy the two different requirements, high accuracy of target tracking and low energy consumption rate, with same wireless sensor networks simultaneously and significantly improve the target tracking accuracy and decrease the energy consumption rate and also improves tracking accuracy at less time interval because only Edge node tracking with transmitting distribution strategy is applied, which simplifies the implementation. My future research direction on energy efficient target tracking and data collection in the wireless sensor network is to create high power efficiency and maximum efficiency in sensor node data communication with the best QoS. Need to create new and efficient algorithm to achieve accuracy. By using a shorter path from the sensor nodes, the neighboring paths of the data are simultaneously reduced data loss and done more efficiently with energy consumption and monitoring accuracy. Future research should be developed to improve performance based on higher energy efficiency and monitoring accuracy.

III. Referees Details

1.Dr. K. Sangeetha

Assistant Professor

Department of Computer Science

Annai Vailankanni Arts and Science College,

Thanjavur-07, Tamilnadu, India

#866-***-****, 944-***-****

2.Dr. V. Jayaraj

Associate Professor

Department of Computer Science and Engineering

Bharathidasan University,

Trichy-23, Tamilnadu, India

#944-***-****

CAREER OJECTIVE

EDUCATION

WORKING EXPERIENCE

PAPER & CHAPTER PUBLICATION AND CONFERENCE

PROGRAM ORGANIZER

PARTICIPATED SEMINARS

PARTICIPATED WORKSHOPS

LANGUAGE AND SKILLS

ACTIVITIES AND INTERESTED

SPECIALIZATION

PERSONAL DETAILS

DECLARATION

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