Indrajit S Acharyya

    Ph.D Candidate

    Master of Engineering Studies

    M.Tech(Embedded Systems)

    Email: iarchary@aut.ac.nz

    Phone: +64 9 921 9999 Ext. 6218

Research Objectives

Architechtural Optimisation of Large Scale Cloud Based System

Complex IoT-based sensor network architectures could significantly benefit from flexibility, sensing heterogeneity, communication protocol software control, low latency and enhanced operational capacity. Rapidly evolving concepts of network softwarization/virtualization can play a key role in fulfilling the aforementioned requirements. Adoption of network softwarization techniques such as Network Function Virtualization (NFV) for cloud-governed IoT–based sensor networks can offer multiple advantages such as flexible network controllability, increased operational capacity, reduced dependency on hardware and substantial mitigation of Operational Expenditure (OPEX). The goal of this research is to explore how a sensor network can be made vastly flexible to reliably and rapidly meet the dynamic service requirements, as those exuded by the public shared spaces. The study focuses on the implementation of network softwarization techniques such as Network Function Virtualization (NFV) in offering the rapid interaction with the process dynamics.

Publications

  • Ezdiani, S., Acharyya I., Sivakumar, S., and Al-Anbuky, A., "Wireless Sensor Network Softwarization: Towards WSN Adaptive QoS" IEEE INTERNET OF THINGS JOURNAL, VOL. 4, NO. 5, OCTOBER 2017, PP 1517-1527.
  • I. S. Acharyya and A. Al-Anbuky, "Towards Wireless Sensor Network Softwarization" 2016 IEEE International Workshop on SDN and IoT, June 6, 2016, Seoul, South Korea.
  • Syarifah Ezdiani, Indrajit S. Acharyya, Sivaramakrishnan Sivakumar, and Adnan Al-Anbuky. 2015. An Architectural Concept for Sensor Cloud QoSaaS Testbed. In Proceedings of the 6th ACM Workshop on Real World Wireless Sensor Networks (RealWSN '15). ACM, New York, NY, USA, 15-18.
  • S. Ezdiani, I. S. Acharyya, S. Sivakumar and A. Al-Anbuky, "An IoT Environment for WSN Adaptive QoS," 2015 IEEE International Conference on Data Science and Data Intensive Systems, Sydney, NSW, 2015, pp. 586-593.
  • Acharya, I. S. and R. Bevi, "LUT Optimization for Memory Based Computation using modified OMS Technique", International Journal of Advanced Electrical and Electronics Engineering (IJAEEE) Volume-2 Issue 5, 2013, ISSN (Print): 2278-8948, pp. 71-75, DOI: 10.1214/IJAEEE/172
  • Acharya, I. S., "A Research based Approach and Improved Methodology for LUT Optimization for Scientific Applications using Modified OMS Technique", International Conference on Advanced Electrical and Electronics Engineering (ICAEEE), ASAR International Conference, Bangalore Chapter, Bangalore, India, 2013, ISBN: 978-81-927147-0-7, pp. 23-27
  • Acharya, I. S., et. al. "Comparative Study of Conventional and Power LED Lighting Technology", National Conference on Recent Trends in Engineering and Technology, SPANDAN-2010, 25th & 26th Feb. 2010 at Yeshwantrao Chavan College of Engineering, Nagpur, India

Tools/Software/Testbed

Testbed : TICC2538 Physical Sensor Cloud Graphs