IEEE ANTS is a premier IEEE forum on advanced networking and telecommunications topics. IEEE ANTS is financially and technically supported by IEEE Communications Society. The distinguishing characteristic of IEEE ANTS is the promotion of an intense dialogue between academia and industry to bridge the gap between academic research, industry initiatives, and governmental policies. Like the previous editions with exciting technical symposia, tutorials, Women in Engineering mini conference, industry panels, PhD forums and exhibitions, IEEE ANTS 2018 will also feature a series of half and full-day workshops. Workshops provide avenues for researchers in academia, and industry practitioners to share their cutting-edge research results in areas of particular interest.
The intent of the workshops is to cover specialized topics by a combination of regular papers, panel discussions, keynotes, conference white papers, panel discussions, and possibly poster presentations. For this year, the workshops would be aligned with the theme of the conference “Bridge to Connect Everything“. Emerging topics not specifically covered in the main track would be emphasized and workshops would highlight current topics related to technical and business issues that encourage active participation of students, academia, government and industry professionals.
In these workshops, along with invited talks from distinguished scientists working in related fields, technical paper sessions will be included. Authors are requested to submit an abstract (max. 500 words, text only) including the goals, the methods and the findings of the topic to be presented.The workshop committee welcomes your abstracts for oral presentations. All submitted abstracts will be reviewed by the technical program committee. Oral presentations provide authors the opportunity to present original work related to workshop topics.
Workshop 1 – Impact of Emerging Standards, 5G and Beyond, and Machine Learning on Connected Vehicles
The field of connected vehicles stands at the confluence of three evolving disciplines – the Internet of Things (IoT), emerging standards for connectivity of vehicles, and AI/machine learning. The number of connected IoT devices is expected to grow from 9.5 billion devices in 2019 to 22.5 billion devices in 2025. Fueling the growth in the evolution of vehicles towards total automation is the development of novel sensors, 3D cameras, lidars and radars and their ability to connect to the Internet, upload the data to a cloud. Whether or not the vehicles are autonomous, one of the key features of connected vehicles is that they are able to share data between themselves in real-time. The workshop will help in understanding the role of these sensors with use cases. Facilitating the connectivity of vehicles is the development of standards in various standards organizations. They are aimed at ensuring communication takes place between various entities in a connected vehicles network – Communications Technologies – vehicle-to-vahicle (V2V), vehicle-to-infrastructure (V2I), infrastructure-to- vehicle (I2V), vehicle-to-pedestrian (V2P), and vehicle-to-nomadic devices (V2ND).
Standards can target both long range and short range communications. Long range communication usually may have relaxed latency constraints whereas short range communication may impose stringent latency constraints. Obviously, the intent is to facilitate the vision of connected vehicles with the help of widely deployed cellular technology and meet the bandwidth and latency constraints. The workshop will address the standards development for connected vehicles and their performance. The vast amount of raw data collected must by mined for it to become useful in ensuring traffic safety by means such as intelligent rerouting of traffic or distribution of information on roadwork activities or accidents. Machine learning is a mechanism that has become extremely powerful in extracting meaningful data. A number of machine learning algorithms exist and can be broadly classified under unsupervised, supervised, and reinforcement learning algorithms. A number of algorithms exist under each category. The workshop will address the impact of machine learning and their applications to connected vehicles with several use cases.
- Prof. Seshadri Mohan, UA Little Rock, USA
- Dr. Sachin Sharma, Graphic Era Deemed to be University, India
Workshop 2 – Fast Packet Processing using Data Plane Development Kit (DPDK)
Network Function Virtualization (NFV) enables software based implementations of network functions to provide middle-box services. It avoids the problem of inflexible, purpose-built hardware for network operators since Virtual Network Functions (VNFs) can be run on top of commodity hardware. NFV has attracted many use cases ranging from virtual Customer Premises Equipment (vCPE) to virtual Evolved Packet Core (vEPC) and virtual Radio Access Network (vRAN). Fast packet processing libraries such as Data Plane Development Kit (DPDK) are the building blocks to enable NFV. The advancements in these libraries are the key factors fuelling the rapid deployment of VNFs. This workshop aims to introduce the architecture of DPDK and give hands-on experience of working with sample applications of DPDK. In addition, the hands-on sessions would focus on setting up a simple experimental topology by using network namespaces. This would allow the participants to quickly get started with learning DPDK and explore its features.
The uniqueness of this workshop is that it helps the users to get started with DPDK quickly by setting up an experimental environment on a local machine. This environment is sufficient to get familiar with DPDK, before moving ahead with DPDK based NFV deployment in real networks. It would enable the users to play with sample applications of DPDK to gain an in-depth understanding of its optimizations and obtain performance measurements.
- Dr. Mohit P. Tahiliani – NITK Suratkal, India
- Mr. Leslie Monis – NITK Suratkal, India
Workshop 3 – Blockchain for Cyber-Physical Systems and IoT
Cyber-physical systems (CPSs) combine physical objects or systems with integrated computing facilities and data storage. Such cyber-physical systems can be interconnected in networks, within which they can exchange and share data and information with other objects and systems. However, the current centralized architecture models in CPS and also more general Internet of Things (IoT) systems will struggle to scale up to meet the demands of future CPSs. To solve these issues, the decentralized and consensus-driven Blockchain and the combination of cryptographic processes behind it can offer an intriguing alternative. For many researchers, the blockchain technology has been seen as one of the most important innovations since the Internet and even of this century. However, it is still in it’s infancy. Thus, the workshop will elaborate the key aspects of the use of blockchain for IoT and CPS applications, and will essentially provide an opportunity for the attendees to gain hands-on experience on how to use blockchain for IoT and CPSs use cases.
- Dr. Madhusanka Liyanage – University College Dublin, Ireland
- Dr. Anshuman Kalla – Manipal University Jaipur, India
- Raaj Anand Mishra – Manipal University Jaipur, India
The telecommunications industry is riding high on the waves of the tech revolution and digital transformation. The surge in internet usage, smartphones, social media and online video streaming has heralded an explosive growth in the amount of data being created, which makes it increasingly challenging to store, transmit and process this data. As providers of the gigantic infrastructure for the new world of interconnected things, telecoms will get their hands on vast datasets. It’s simply impossible for humans to process all of this data—and even more so with traditional methods—even if you cut down the sample size. While the unprecedented volume of wireless data traffic may suggest tougher communications system designs, machine learning (ML) embraces unique opportunities that can be a game changer for breaking the wireless communications bottlenecks in the next generation 5G and beyond wireless networks. ML is a type of AI that allows digital devices to learn, without being explicitly programmed. AI and ML is more of a solution to the problems than a challenge. Telecoms need machine learning to be able to process and analyse the data in many areas: customer experience, network automation, business process automation, new digital services, and infrastructure maintenance. As a key technique for enabling artificial intelligence (AI), ML has been shown to be capable of solving complex problems without explicit programming. Motivated by its successful applications to many practical tasks like image recognition and recommendation systems, both industry and the research community have advocated the applications of ML in wireless communication.
- Prof. Vimal Bhatia – IIT Indore, India
- Dr. B. N. Bharath- IIT Dharwad, India
- Prof. T. Ratnarajah – The University of Edinburgh, UK
- Prof. M. Sellathurai – Heriot-Watt University, UK
Paper Submission: October 26, 2019
Notification of Acceptance: November 04, 2019
Camera Ready: November 10, 2019
Submission Link : https://edas.info/M1570572378
5G Wireless is one of the most importance research areas at present.Several working groups all over the world are investigating various aspects of 5G Wireless/Cellular Systems. Few groups of researchers in India from Industry and academia too are carrying out researches in the 5G. It is expected that the contribution from Indian researchers in the field of 5G would be significant. A number of colocated workshops in different, specific and focused areas of 5G are being organized in many of important and very good conferences in different parts of the globe. IEEE ANTS, an annual event in India, is an important and one of the high rated, valued international level conferences focused on telecommunication area.To enhance the research activities and to strengthen the ANTS conference, a workshop on broad area of 5G is being proposed. The organizer would like to cover a broad range of spectrum of 5G investigation and some highlights of future wireless communication era. The proposed workshop on 5G Wireless/Cellular and future wireless Communications and technology ensembles greatly in the scope of ANTS.
- Navin Kumar, Amrita University Bangalore, India.
- Arpita Thakre, Amrita University Bangalore, India.
- Ashutosh Dutta, A T & T, New Jersey, US
Paper Submission: 31 Oct 2019
Notification of Acceptance: 25 Nov, 2019
Camera Ready: 30 Nov, 2019
Submission Link : https://edas.info/M1570580456
Workshop 6 – Underwater Communication and Networking
This workshop will introduce the topic of underwater acoustic communication and networking. It will also introduce UnetStack, Underwater Network Simulator developed by Acoustic Research Laboratory (ARL) of the National University of Singapore.
From the scientific and commercial point of view, a continuous real-time, effective and synoptic sampling of ocean has gained huge importance. From the necessity of various possible applications such as ocean environmental monitoring, undersea exploration, seismic monitoring, assisted navigation, tactical surveillance and so on, a new technology of Underwater Acoustic Sensor Network (UASN) has been developed. UASN can be considered as a conglomeration of underwater acoustic wireless communication and Wireless Sensor Network (WSN). WSN deployed underwater is termed as UWSN (Underwater Wireless Sensor Network), and if the acoustic signal is used to form wireless communication links between sensor nodes, then it is termed as UASN (Underwater Acoustic Sensor Network). In this workshop, various aspects of UASN such as protocol stack, available tools and state-of-the-art work in the field will be introduced.
- Dr. Sarang C. Dhongdi, BITS Pilani K K Birla Goa Campus, India
- Prof. K R Anupama, BITS Pilani K K Birla Goa Campus, India
- Prof. Mandar Chitre, National University of Singapore, Singapore.
Workshop Proposal Timeline
Proposal Deadline: August 15, 2019(HARD DEADLINE)
Notification of Selection: October 4, 2019 by 6:00 PM IST
Please direct all IEEE ANTS 2019 workshop-related questions to the Workshop Co-Chair:
For other enquiries: firstname.lastname@example.org