Dr.Arthi. R

  • D-308,TVS Emerald Green Hills,NGO Nagar Extension,Nedungundram,New Perungalathur,Chennai -63.
Dr.Arthi. R

Thesis Title : Localization Of Sensor Nodes Using Learning Movement Model in Wireless Sensor Networks

Summary

The Thesis presents an idea to localize the sensor nodes by keeping the anchor nodes static and the non-anchor nodes dynamic for Hidden Markov Model (HMM) localization.

  • HMM defines its parameters that generate the respective probability matrices for the non-anchor nodes to get localized. Received Signal Strength (RSS) of the non-anchor node with HMM parameter are given as input to obtain the location estimate by evaluating the most probable sequence using Forward-Backward Algorithm and the maximum likelihood sequence using Viterbi Algorithm.  The advantage of the HMM is that it tends to converge the state sequence, which directly helps to reduce the traffic and subsequently consumes low power, reducing the estimation error.
  • Cluster localization is achieved by keeping the cluster head (anchor node) static and the cluster members (non-anchor node) dynamic. Coverage Preserving Clustering Protocol (CPCP) approach is proposed to form clusters for localization with HMM. Cluster localization of sensor nodes using HMM  obtains reduced error estimate and average energy dissipation.
  •  An innovative approach for improving the location accuracy using Bio-Inspired Optimization Algorithm. Optimizing the location accuracy is a one-time process to obtain better accurate location rather than longer sequence. A newer algorithm called hybrid Bacterial Foraging Algorithm_ Particle Swarm Optimization (BFA_PSO) is proposed for optimizing the location of nodes using HMM parameter as fitness function. The fitness function is optimized to obtain the location accuracy in an iterative manner by using hybrid BFA_PSO. The hybrid BFA_PSO optimization technique obtains the location accuracy and tends to converge faster for improved location accuracy.
  • In Hidden Semi-Markov Model(HSMM), the state process is assumed to be a semi-Markov chain with finite number of states by introducing the concept of state duration probability. The length of the observation sequence for each state is determined by the time duration of each state. The most likely state sequence is obtained by using the Viterbi algorithm. The optimal most likely state sequence is found by replacing the sum operations in the forward variable by maximization operations.  It is concluded that the HSMM represents significant improvement over the existing HMM for location estimation.
  • The dissertation concludes with an efficient localization method aimed to attain the location accuracy and less energy consumption for sensor network. Overall, the performance of proposed HMM for location estimation at various stages helps to reduce the error estimation and average energy dissipation for localization process.

Work History

Work History
Sep 2008 - Jun 2014

Research Scholar 

Anna University, Chennai

Studied Course Work of 4 subjects from Jan 2009 - Dec 2009 (1 Year)

  • Wireless Networks
  • Telecommunication System Modeling and Simulation
  • Wireless Sensor Networks
  • Communication Network Security

Started with the Preliminary Survey for Research, Conceived the research work,simulated,presented papers in conferences, published in journals  and concluded with final thesis ( 4 years 6 months)

Jul 2007 - May 2008

Assistant Professor

AMC Engineering College, Bangalore.

Handled classes for UG  and PG students (11 Months)

Sep 2006 - Jul 2007

Assistant Professor

Shirdi Sai Engineering College, Bangalore.

Handled classes for UG students (11 Months)

Apr 2001 - Aug 2006

Lecturer

Shirdi Sai Engineering College,Bangalore.

Handled classes for UG students (5 years 5 Months).

Jan 1997 - Sep 1999

Lecturer

Adhiyamaan College of Engineering, Hosur

Handled classes for UG and PG students ( 2 years 9 Months)

Aug 1994 - Mar 1995

Lecturer

Adhiyamaan College of Engineering, Hosur

Handled classes for UG students ( 8 Months)

Education

Education
Sep 2008 - Jun 2014

PhD Doctorate

Anna University, Chennai

Awarded degree in Information and Communication Engineering

Specialization in Wireless Sensor Networks

Oct 1999 - Aug 2001

M.Tech

B.M.S. College of Engineering,Bangalore. ( Affiliated to Visveswariah Technological University,Belgaum.Karnataka)

Specilization in Digital Communication

Jun 1994 - May 1997

M.B.A

Madurai Kamaraj University, Madurai.

Specilization in Marketing Research

Jun 1990 - May 1994

B.E

Periyar Maniammai College of Technology for Women, Thanjavur. ( Affiliated to Bharathidasan University, Tiruchirapalli.)

Specialization in Electronics and Communication Engineering

Journal Publications

International / National Conferences

Training Programs Attended

Professional Commitment

Awards & Appreciation

Membership of Engineering Bodies

Citations

Research Interests

Personal