Dr Gopikrishnan Sundaram

Verified email at gmail.com

VIT-AP University, Amaravathi, AP



                                                     

https://researchid.co/c-2418-2015
18

Scopus Publications

63

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Improving sugarcane production in saline soils with Machine Learning and the Internet of Things
    S. Gopikrishnan, Gautam Srivastava, and P. Priakanth

    Sustainable Computing: Informatics and Systems, ISSN: 22105379, Published: September 2022 Elsevier BV

  • Scheduling Based Data Aggregation with Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm
    Ad-Hoc and Sensor Wireless Networks, ISSN: 15519899, eISSN: 15520633, Issue: 3-4, Pages: 199-222, Published: 2022

  • Pearson Correlation Based Outlier Detection in Spatial-Temporal Data of IoT Networks
    M. Veera Brahmam, S. Gopikrishnan, K. Raja Sravan Kumar, and M. Seshu Bhavani

    Lecture Notes on Data Engineering and Communications Technologies, ISSN: 23674512, eISSN: 23674520, Pages: 1019-1028, Published: 2022 Springer Singapore

  • Artificial Intelligent Former: A¬†Chatbot-Based Smart Agriculture System
    S. Gopikrishnan, Cheemakurthi Srujan, V. N. Siva Praneeth, and Sagar Mousam Parida

    Lecture Notes on Data Engineering and Communications Technologies, ISSN: 23674512, eISSN: 23674520, Pages: 997-1008, Published: 2022 Springer Singapore

  • Energy Harvesting in Cooperative SHIPT NOMA for Multi-user Network
    K. Raja Sravan Kumar, S. Gopikrishnan, M. Veera Brahmam, and M. Gargi

    Lecture Notes on Data Engineering and Communications Technologies, ISSN: 23674512, eISSN: 23674520, Pages: 1029-1037, Published: 2022 Springer Singapore

  • EWPS: Emergency data communication in the Internet of Medical Things
    S. Gopikrishnan, P. Priakanth, Gautam Srivastava, and Giancarlo Fortino

    IEEE Internet of Things Journal, eISSN: 23274662, Pages: 11345-11356, Published: 15 July 2021 Institute of Electrical and Electronics Engineers (IEEE)

  • DEDC: Sustainable data communication for cognitive radio sensors in the Internet of Things
    S. Gopikrishnan, P. Priakanth, and Gautam Srivastava

    Sustainable Computing: Informatics and Systems, ISSN: 22105379, Published: March 2021 Elsevier BV
    Abstract The distributed tree-based data communication protocol is a widely accepted efficient method in wireless sensor network-enabled Internet of Things (IoT). Due to increasing demand for IoT applications, cognitive radio sensors play a vital role in spectrum utilization. This short communication proposes a delay aware, energy-efficient data communication protocol (DEDC) for cognitive radio sensor networks (CRSN). This research proposes a first communication protocol that integrates the solution for delay and energy issues in CRSNs specific to IoT application. The respective simulation results and comparative studies with the existing models on other parameters prove the novel contribution of this research in terms of delay and energy utilization.

  • Adaptive cost-sensitive sparse representation truncated gradient online classification (Acssrtgc)
    International Journal on Emerging Technologies, ISSN: 09758364, eISSN: 22493255, Pages: 283-288, Published: 2020

  • HSIR: hybrid architecture for sensor identification and registration for IoT applications
    S. Gopikrishnan, P. Priakanth, and Rolly Maulana Awangga

    Journal of Supercomputing, ISSN: 09208542, eISSN: 15730484, Pages: 5000-5018, Published: 1 August 2019 Springer Science and Business Media LLC
    Internet of things is the backbone of the smart applications, which attracts many types of research on the state-of-the-art network applications. Enormous research on sensor networks left more devices that are sensible in the day-to-day life. Hence, implementing new sensor networks for smart applications is not necessary. Many researchers have accepted and utilized existing networks for their request. In this case, techniques for identifying and registering existing sensible things are on demand. This paper proposed a hybrid framework for sensor identification and registration (HSIR) for new IoT applications. This research proposing HSIR as a framework aimed for user-friendliness in the IoT as well as addressed toward the scalability requirement of IoT applications. This model uses content- and context-based multicast communication instead of broadcast to reduce energy and time consumption in sensor identification. HSIR also proposed a public key to register the new network for application requirements. The behaviour of the proposed model has been assayed in realistic with simulations and proved by comparing other models.

  • Surveillance in nuclear power plant using internet of things
    International Journal of Innovative Technology and Exploring Engineering, eISSN: 22783075, Pages: 486-490, Published: 2019

  • Lifetime enhancement in wireless sensor networks using binary search tree based data aggregation
    Journal of Applied Research and Technology, ISSN: 16656423, eISSN: 24486736, Pages: 524-543, Published: 2018

  • Reinforcing VANET security using ant colony optimization through heuristic approach
    S. Gopikrishnan, C. Krishnaraj, and K. Kokilavani

    International Journal of Vehicle Structures and Systems, ISSN: 09753060, eISSN: 09753540, Pages: 85-88, Published: 2018 MAFTREE
    Vehicular ad hoc network (VANET) is a novice technique which has drawn the attention of several industries and academics. Security parameters in VANET are now receiving popularity in the research community. A defensive mechanism provides a solution to control the attacks across the VANET security. However, a single defence mechanism is unable to provide solution to the attack models as more sophisticated method is required for VANETs. This paper proposed a method termed heuristic approach for ant colony optimization (HAAC) for improved security in addition to better transportation, reliability and management. The heuristic based ant colony optimization is used to reduce the problem in finding known and unknown opponents in providing security to VANET. The characteristic of real ant colonies is used in VANET security in order to solve attack problems with shortest path. The Reinforcing VANET security using vehicle mode analysis is evaluated in an efficient manner using NS2 simulator. The excellent outcomes are obtained by an HAAC approach combined with a dynamic heuristic.

  • RETRACTED ARTICLE: HSDA: Hybrid Communication for Secure Data Aggregation in Wireless Sensor Network
    S. Gopikrishnan and P. Priakanth

    Wireless Personal Communications, ISSN: 09296212, eISSN: 1572834X, Pages: 3275, Published: 1 September 2017 Springer Science and Business Media LLC

  • HCDA: Hybrid collision aware data aggregation in wireless sensor networks
    International Journal of Networking and Virtual Organisations, ISSN: 14709503, Issue: 2-3, Pages: 202-228, Published: 2017

  • Hybrid communication for energy-efficient data aggregation in wireless sensor networks
    S. Gopikrishnan and P. Priakanth

    International Journal of Ad Hoc and Ubiquitous Computing, ISSN: 17438225, eISSN: 17438233, Pages: 225-240, Published: 2017 Inderscience Publishers

  • Localization of sensor nodes in the presence of obstruction in wireless sensor network environment
    S. Gopikrishnan, P. D. Mahendiran, and V. Jothiprakash

    Proceedings of the 10th International Conference on Intelligent Systems and Control, ISCO 2016, Published: 31 October 2016 IEEE
    Localization is considered as an important parameter in wireless sensor network where it support the node to identify its location so that routing can take place in power efficient way in a dynamic network topology. The issue of localization has been addressed in many research areas such as vehicle navigation systems, virtual reality systems, user localization in wireless sensor networks (WSNs). The proposed model presents a unique localization framework considering the presence of obstruction in the environment of wireless sensor network with random node placement and irregular radio patterns for minimizing the estimates of the range free localization errors. The mobile anchor nodes frequently broadcast beacon message, including their current location approach. The range-free localization algorithms evaluate the node ranging error accuracy in the anisotropic networks to address the localization inequality issues for the empty feasible set. Here, we applied the approach of convex optimization for localization since the computation is faster. Depending upon the node density the regular node need to communicate with the mobile anchor for the localization process by participating the regular nodes in the cooperative localization process.

  • Hybrid Tree Construction for Sustainable Delay Aware Data Aggregation in Wireless Sensor Networks
    S. Gopikrishnan and P. Priakanth

    Wireless Personal Communications, ISSN: 09296212, eISSN: 1572834X, Pages: 923-945, Published: 1 September 2016 Springer Science and Business Media LLC
    Data aggregation is a process of collecting data from all the sensor nodes with a sink node to generate a statistic report in a wireless sensor network. Data aggregation can be performed in various ways that resolves many issues like aggregation delay, collision, security and energy utilization. This paper proposes a Hybrid tree construction (HTC) algorithm to perform the delay efficient data aggregation in wireless sensor network. In HTC a node which has high renewable energy is chosen as root. Each node chooses their corresponding parent and child node among their neighbors by implementing a two-hop tree construction method. In this HTC left child will be selected based on its residual energy and least distance from the other nodes and right child is the second least distance node from the root. By applying a delay efficient data aggregation algorithm on the data aggregation tree constructed by HTC, the performance of the proposed algorithm has been studied. The HTC algorithm has been applied on different network scenarios to improve its performance through the simulation models and the results are verified by comparing with other models.

  • HSDA: hybrid communication for secure data aggregation in wireless sensor network
    S. Gopikrishnan and P. Priakanth

    Wireless Networks, ISSN: 10220038, eISSN: 15728196, Pages: 1061-1078, Published: 1 April 2016 Springer Science and Business Media LLC
    The rapid development of wireless sensor networks motivates the researchers and industries to implement large scale wireless sensor network in highly sensitive applications. Since the data aggregation is the major functionality of the wireless sensor network, the network implementation should avoid data aggregation issues like energy, collision, delay and security. As sensor nodes are deployed in hostile environments, the security of the sensitive information such as authenticity, confidentiality and integrity should be considered. To provide a unique solution that resolve the security and energy issues, this paper proposes a hybrid secure data aggregation (HSDA) to provide high secure data aggregation in an energy efficient way. HSDA implements an end to end symmetric key cryptography for secure authentication using shared public key and it uses hop by hop asymmetric key cryptography with the private keys of each node for data integrity and confidentiality. The proposed model performs the private key generation and encryption at the leaf node to reduce the communication and computation overhead of the sensor nodes. The proposed energy efficient way for achieving the secure data aggregation is proved through simulation results. Compared with existing models, the proposed model provides a new solution that resolves energy as well as security issues in data aggregation.

RECENT SCHOLAR PUBLICATIONS

  • Improving sugarcane production in saline soils with Machine Learning and the Internet of Things
    S Gopikrishnan, G Srivastava, P Priakanth
    Sustainable Computing: Informatics and Systems 35, 100743 2022

  • Scheduling Based Data Aggregation with Hybrid Artificial Bee Colony and Monarchy Butterfly Optimization Algorithm.
    A Asha, S Gopikrishnan, A Mehbodniya, A Venaik, L Shakkeera
    Adhoc & Sensor Wireless Networks 52 2022

  • Double Helical Ensemble Multi-Dimensional 4-D Structured Neural Network to Analyze the Driving Pattern, Driver DNA and Generate License Score using Smartphone Sensor Data
    S Karthikeyan, S Gopikrishnan, TB Dhruv Batta
    Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (13 2021

  • Automatic Classification of ISAR Images
    DBBJ Hari Kishan Kondaveeti, Dr. S. Gopikrishnan, Valli Kumari Vatsavayi
    Design Engineering, 298-314 2021

  • Design and development of IOT Based Maritime Monitoring Scheme for fishermen in India
    P Priakanth, M Thangamani, S Gopikrishnan, M Ganthimathi
    Materials Today: Proceedings 2021

  • DEDC: Sustainable data communication for cognitive radio sensors in the Internet of Things
    S Gopikrishnan, P Priakanth, G Srivastava
    Sustainable Computing: Informatics and Systems 29, 100471 2021

  • EWPS: emergency data communication in the internet of medical things
    S Gopikrishnan, P Priakanth, G Srivastava, G Fortino
    IEEE Internet of Things Journal 8 (14), 11345-11356 2021

  • Adaptive Cost-Sensitive Sparse Representation Truncated Gradient Online Classification (ACSSRTGC)
    P Priakanth, M Thangamani, S Gopikrishnan
    International Journal on Emerging Technologies 11 (2), 283-288 2020

  • IBPS: Ibeacons Based Improved Indoor Positioning System
    S Gopikrishnan, P Priakanth
    International Journal of Recent Technology and Engineering 8 (5), 3792-3797 2020

  • Surveillance in Nuclear Power Plant using Internet of Things
    JV Gopikrishnan S, Priakanth P
    International Journal of Innovative Technology and Exploring Engineering 2019

  • (PDF: https://bit.ly/322koWd ) HSIR: hybrid architecture for sensor identification and registration for IoT applications
    S Gopikrishnan, P Priakanth, RM Awangga
    The Journal of Supercomputing, 1-19 2019

  • Machine Learning Techniques for Internet of Things
    P Priakanth, S Gopikrishnan
    Integrating the Internet of Things Into Software Engineering Practices, 160-180 2019

  • Web-Based IoT Application Development
    S Gopikrishnan, P Priakanth
    Integrating the Internet of Things Into Software Engineering Practices, 62-86 2019

  • Reinforcing VANET Security using Ant Colony Optimization through Heuristic Approach
    S Gopikrishnan, C Krishnaraj, K Kokilavani
    International Journal of Vehicle Structures & Systems 10 (2), 85-88 2018

  • (PDF: https://bit.ly/2VuyRaJ ) Lifetime enhancement in wireless sensor networks using binary search tree based data aggregation
    S Gopikrishnan, P Priakanth
    Journal of applied research and technology 16 (6), 524-543 2018

  • Retracted article: HSDA: hybrid communication for secure data aggregation in wireless sensor network
    S Gopikrishnan, P Priakanth
    Wireless Pers Commun 96, 3275 2017

  • Hybrid communication for energy-efficient data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    International Journal of Ad Hoc and Ubiquitous Computing 25 (4), 225-240 2017

  • HCDA: hybrid collision aware data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    International Journal of Networking and Virtual Organisations 17 (2-3), 202-228 2017

  • Hybrid tree construction for sustainable delay aware data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    Wireless Personal Communications 90 (2), 923-945 2016

  • (Download: https://rdcu.be/bnCDT) HSDA: hybrid communication for secure data aggregation in wireless sensor network
    S Gopikrishnan, P Priakanth
    Wireless Networks 22 (3), 1061-1078 2016

MOST CITED SCHOLAR PUBLICATIONS

  • (Download: https://rdcu.be/bnCDT) HSDA: hybrid communication for secure data aggregation in wireless sensor network
    S Gopikrishnan, P Priakanth
    Wireless Networks 22 (3), 1061-1078 2016
    Citations: 15

  • Hybrid tree construction for sustainable delay aware data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    Wireless Personal Communications 90 (2), 923-945 2016
    Citations: 8

  • (PDF: https://bit.ly/322koWd ) HSIR: hybrid architecture for sensor identification and registration for IoT applications
    S Gopikrishnan, P Priakanth, RM Awangga
    The Journal of Supercomputing, 1-19 2019
    Citations: 7

  • DEDC: Sustainable data communication for cognitive radio sensors in the Internet of Things
    S Gopikrishnan, P Priakanth, G Srivastava
    Sustainable Computing: Informatics and Systems 29, 100471 2021
    Citations: 6

  • EWPS: emergency data communication in the internet of medical things
    S Gopikrishnan, P Priakanth, G Srivastava, G Fortino
    IEEE Internet of Things Journal 8 (14), 11345-11356 2021
    Citations: 6

  • Retracted article: HSDA: hybrid communication for secure data aggregation in wireless sensor network
    S Gopikrishnan, P Priakanth
    Wireless Pers Commun 96, 3275 2017
    Citations: 4

  • HCDA: hybrid collision aware data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    International Journal of Networking and Virtual Organisations 17 (2-3), 202-228 2017
    Citations: 4

  • (PDF: https://bit.ly/2VuyRaJ ) Lifetime enhancement in wireless sensor networks using binary search tree based data aggregation
    S Gopikrishnan, P Priakanth
    Journal of applied research and technology 16 (6), 524-543 2018
    Citations: 3

  • A survey of energy efficient data aggregation schemes in wireless sensor networks
    S Gopikrishnan, P Priakanth, PD Mahendhiran
    Middle-East J. Sci. Res 23 (10), 2603-2612 2015
    Citations: 3

  • Machine Learning Techniques for Internet of Things
    P Priakanth, S Gopikrishnan
    Integrating the Internet of Things Into Software Engineering Practices, 160-180 2019
    Citations: 2

  • Cluster Based Routing Algorithm for Wireless Sensor Networks
    S Gopikrishnan, R Janani, DS Prakash
    International Journal of Innovative Research in Computer and Communication 2015
    Citations: 2

  • Design and development of IOT Based Maritime Monitoring Scheme for fishermen in India
    P Priakanth, M Thangamani, S Gopikrishnan, M Ganthimathi
    Materials Today: Proceedings 2021
    Citations: 1

  • Hybrid communication for energy-efficient data aggregation in wireless sensor networks
    S Gopikrishnan, P Priakanth
    International Journal of Ad Hoc and Ubiquitous Computing 25 (4), 225-240 2017
    Citations: 1

  • Localization of sensor nodes in the presence of obstruction in wireless sensor network environment
    S Gopikrishnan, PD Mahendiran, V Jothiprakash
    2016 10th International Conference on Intelligent Systems and Control (ISCO 2016
    Citations: 1