Jitendra Bhatia

Dr. Jitendra Bhatia

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
17 September 2020 in Peer-to-Peer Networking and Applications
Verified
Journal Article
Closed access
PDF file
SKSahil Khatri
Sahil Khatri
HVHrishikesh Vachhani
Hrishikesh Vachhani
SSShalin Shah
Shalin Shah
JBJitendra Bhatia
Jitendra Bhatia
MCManish Chaturvedi
Manish Chaturvedi
Neeraj KumarNeeraj Kumar
Neeraj Kumar

6 June 2019 in International Journal of Communication Systems
Verified
Journal Article
Closed access
PDF file
JBJitendra Bhatia
Jitendra Bhatia
YMYash Modi
Yash Modi
STSudeep Tanwar
Sudeep Tanwar
MBMadhuri Bhavsar
Madhuri Bhavsar

1 April 2021 in International Journal of Communication Systems
Verified
Journal Article
Closed access
PDF file
MNMahima Nama
Mahima Nama
ANAnkita Nath
Ankita Nath
NBNancy Bechra
Nancy Bechra
JBJitendra Bhatia
Jitendra Bhatia
STSudeep Tanwar
Sudeep Tanwar
BSBalqies Sadoun
Balqies Sadoun

24 December 2022 in Sensors
Verified
Journal Article
Open access
PDF file
JBJitendra Bhatia
Jitendra Bhatia
KIKiran Italiya
Kiran Italiya
KJKuldeepsinh Jadeja
Kuldeepsinh Jadeja
MKMalaram Kumhar
Malaram Kumhar
UCUttam Chauhan
Uttam Chauhan
Raboaca Maria SimonaRaboaca Maria Simona
Raboaca Maria Simona
With the rapid growth in the data and processing over the cloud, it has become easier to access those data. On the other hand, it poses many technical and security challenges to the users of those provisions. Fog computing makes these technical issues manageable to some extent. Fog computing is one of the promising solutions for handling the big data produced by the IoT, which are often security-critical and time-sensitive. Massive IoT data analytics by a fog computing structure is emerging and requires extensive research for more proficient knowledge and smart decisions. Though an advancement in big data analytics is taking place, it does not consider fog data analytics. However, there are many challenges, including heterogeneity, security, accessibility, resource sharing, network communication overhead, the real-time data processing of complex data, etc. This paper explores various research challenges and their solution using the next-generation fog data analytics and IoT networks. We also performed an experimental analysis based on fog computing and cloud architecture. The result shows that fog computing outperforms the cloud in terms of network utilization and latency. Finally, the paper is concluded with future trends.

30 July 2023 in Security and Privacy
Verified
Journal Article
Closed access
ADArchan Dhadhania
Archan Dhadhania
JBJitendra Bhatia
Jitendra Bhatia
RMRachana Mehta
Rachana Mehta
STSudeep Tanwar
Sudeep Tanwar
RSRavi Sharma
Ravi Sharma
AVAmit Verma
Amit Verma

9 September 2022 in International Journal of Reliable and Quality E-Healthcare
Verified
Journal Article
Open access
PDF file
MKMalaram Kumhar
Malaram Kumhar
JBJitendra Bhatia
Jitendra Bhatia
Millions of smart devices and sensors continuously produce and transmit data to control real-world infrastructures using complex networks in the internet of things (IoT). These devices have limited computing, processing, storage, and communication resources to perform time-critical and rigorous computing tasks. Edge computing has emerged as a new model to resolve the above problems by performing computation near IoT devices. The IoT revolution is reshaping the modern healthcare system with promising technological, economic, and social prospects. IoT in healthcare not only helps patients but also doctors to monitor the patient's health condition from a remote place. Software-defined networking (SDN) is an effective and promising solution to overcome issues such as IoT device management, control, interoperability, and maintenance. In this paper, the authors perform an extensive survey to analyze the role of SDN and edge computing in healthcare. Finally, the paper is concluded with the ongoing research on SDN and edge computing to solve various issues in IoT based healthcare domain.