IEEE International Conference on Advanced Networks and Telecommunications Systems
13-16 December 2021 // Hyderabad, India

Internet of X-Things (X-IoT): Communication Techniques and Antenna Design Perspective

The fast growth of the world’s population demands more food, natural resources and space to reside. This ever-increasing demand requires novel technology for exploration of resources and outer space. Enabling technology to overcome all of the above concern mostly comes under Internet of X-things (X-IoT). The framework of X-IoT consists of three major categories: Terrestrial (Conventional/Space), underwater and underground (Non-Conventional). The first category is Internet of terrestrial things (IoTST) for outer space exploration, to provide coverage, and to enable inter-satellite communications. The second category is the Internet of underwater things (IoUWT) for exploration of ocean and third category is Internet of underground things (IoUGT) for agriculture, seismic monitoring, and Oil & Gas exploration. The technological challenges for IoTST, IoUWT and IoUGT can be broadly classified into communication, networking, and localization. For conventional IoTs (IoTST), radio communication is the best technique for transmission of information’s between the devices. For Non-conventional IoT applications, traditional techniques of wireless communication like radio frequency (RF) are not suitable, because of dynamic channel behaviours and high path loss and thus becomes impractical in nature. In underwater environment, the majority of the research work is based on acoustic (sound wave) communication. However, it encounters many challenges like low data rate, and high propagation delay. Acoustic waves provide long transmission range, but due to the low speed of sound waves and low frequency operation, the data rate is low and delay is very high. Therefore, optical waves based wireless communications have been presented to provide high data rate for non-conventional media communication. However, this technique also suffers from low transmission range and require line of sight (LOS). Magnetic induction (MI)-based communication is a recently explored promising technique for non-conventional media applications. This technique exhibits several characteristics such as negligible propagation delay, predictable and constant channel behaviour, sufficiently large communication range and data rate, and also provide stealth underwater and underground operations. Efficient antenna design is very important for getting a good performance of any wireless system. For IoT applications, antenna must support high data rate, compact size. It also has energy harvesting features as well as support filtering response. It can be said that antenna must be smart in nature for IoT applications. So, we would like to present and evaluate/discuss some of the exciting new research approaches that have been suggested to deal with these issues, including state-of-art research in X-IoT from communication technique and antenna design perspective.

Some important topics (but not limited to) is as follows:

  • X-IoT communication protocols
  • Communication techniques for Internet of underground and underwater things
  • Communication techniques for Internet of Vehicles
  • Antenna design for Underwater Communication
  • MIMO Antenna design for X-IoT Applications
  • Smart Antennas
  • Energy Harvesting Antennas for X-IoT Applications
  • Filtering Antenna for X-IoT Applications
  • Quasi-Isotropic Antenna for X-IoT Applications
  • Free space optical communication for X-IoT
  • Device-to-Device (D2D) Communication in X-IoT
  • X-IoT and Machine-to-Machine (M2M) Communication
  • Networking and Localization for X-IoT
  • Machine learning and AI for X-IoT
  • X-IoT privacy, security and vulnerabilities

Workshop Organizers:

  • Dr. Arun Prakash, Associate Professor, ECED, MNNIT Allahabad, Prayagraj-211004, India (arun@mnnit.ac.in)
  • Dr. Sarsij Tripathi, Assistant Professor, CSED, MNNIT Allahabad, Prayagraj – 211004, India (sarsij@mnnit.ac.in)
  • Dr. Vinay Kumar, Assistant Professor, ECED, MNNIT Allahabad, Prayagraj – 211004, India (vinay.k@mnnit.ac.in)
  • Dr. Anand Sharma, Assistant Professor, ECED, MNNIT Allahabad, Prayagraj -211004, India (anandsharma@mnnit.ac.)

Important dates:

  • Paper Submission: 8 Nov, 2020
  • Notification of Acceptance: 16 Nov, 2020
  • Final Submission: 25 Nov, 2020
Submission Link : https://edas.info/newPaper.php?c=27510&track=104078

Call For Papers (PDF)



Invited Speakers

Prof. Manav R. Bhatnagar, IIT Delhi

Manav R. Bhatnagar received M.Tech. degree in communications engineering from the Indian
Institute of Technology Delhi, New Delhi, India, in 2005 and the Ph.D. degree in wireless communications from the Department of Informatics, University of Oslo, Oslo, Norway, in 2008. From 2008 to 2009, he was a Postdoctoral Research Fellow with University Graduate Center (UNIK), University of Oslo. He held visiting appointments with the Wireless Research Group, Indian Institute of Technology Delhi; the Signal Processing in Networking and Communications (SPiNCOM) Group, University of Minnesota Twin Cities, Minneapolis, MN, USA; the AlcatelLucent Chair, SUPELEC, France; the Department of Electrical Computer Engineering, Indian Institute of Science, Bangalore, India; UNIK, University of Oslo; the Department of Communications and Networking, Aalto University, Espoo, Finland; and INRIA/IRISA Laboratory, University of Rennes, Lannion, France. He is currently a Professor with the Department of
Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India. His research interests include signal processing for multiple-inputmultiple-output systems, cooperative communications, noncoherent communication systems, distributed signal processing for cooperative networks, multiuser communications, ultrawideband-based communications, free-space optical communication, cognitive radio, software defined radio, power line communications, and satellite communications. Dr. Bhatnagar was selected as an Exemplary Reviewer of the IEEE COMMUNICATIONS LETTERS for 2010 and 2012, and an Exemplary Reviewer of the IEEE TRANSACTIONS ON COMMUNICATIONS for 2015. He has received the NASI-Scopus Young Scientist Award 2016 in engineering category and the Shri Om Prakash Bhasin Award in the field of Electronics & Information Technology for the year 2016.


Prof. Shekhar Verma, IIIT Allahabad

Shekhar Verma has received his BTech, MTech and PhD from IIT BHU, Varanasi. He is currently working as professor in Information Technology at Indian Institute of Information Technology Allahabad. He has published more than 100 research papers in reputed refereed International Journals and more than 80 papers in international conferences. He has supervised 20 PhD scholars and handled many R&D projects. He is a member of the Machine Learning and Optimization Group” at IIIT Allahabad. His research interests include dimensionality reduction, Manifold regularization, Privacy Preserving Machine Learning and Deep Learning techniques

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