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International Workshop on Wireless automated networking for Internet of Things

November 16/17, 2019, joint with IoTaaS 2019, Xi’an, China

Recent years have witnessed rapid growth in both volume and revenue of Internet of Things (IoT) industry, which aims at revolutionizing the way people live and work by dealing with main challenges from population explosion, resource depletion and environment population. This trend is indicated with the improvements in terms of cheap and scalable hardware with necessary software stacks along with the rise of novel communication technologies. In an IoT network, things are to sense the environment, share the information, and then make intelligent decisions to facilitate machine-type devices operation. While communication between machine-type devices including sensors, wearables and actuators is considered as the heart of the tomorrow’s IoT system, its main focus lies in the seamless integration of devices to help human in difficult and cumbersome jobs such as search and rescue in disastrous environments and exploration of unknown environments.

Over last decade, most of research works on machine-type communication still stay under the traditional concept. Machine-type device operation and wireless networks are separately studied, and significant disconnection remains in their respective researches. System performance degradation has been thus suffered due to bottleneck effects. To tackle this hardness, researchers have tried to incorporate wireless network technologies in machine-type operations, opening up a whole new research field at the intersection. This new research domain is called wireless automated networking.

In general, the design of wireless automated network is much challenging. Several major issues are still open to be addressed. First, as the number of decides connected and maintained in the network may be large, limited network resource has to be shared. The situation will get worse when a highly congested industrial band is arranged. Second, energy consumption of the network is much constrained under support of battery power. Such constraint poses design difficulties for both physical and MAC layer protocols, and thus channel access mechanism should be energy aware. Third, specifics of traffic patterns is emphasized and the network design needs to be task orientated. It is expected to deign the network protocol adaptable to satisfy the QoS requirement in more effective and efficient manner.

This workshop aims to bring together the active researchers in this field to share their timely and solid works on wireless automated networking technologies for IoT. Through this forum, it is expected to provide a comprehensive overview on this topic and inspire more valuable research orientations.

Topics of Interest

The technical issues covered by this workshop include (but are not limited to):

  • IoT Protocol design and optimization;
  • IoT Protocol design and optimization;
  • Dynamic channel access techniques;
  • High efficient routing for IoT;
  • Energy efficiency networking;
  • Green communication in IoT;
  • Cooperative behavior analysis in IoT;
  • Energy storage and management techniques for IoT;
  • Self-Learning and adaptive networking protocols and algorithms;
  • Deep learning and reinforcement learning in network management;
  • Predictive or self-aware networking maintenance.

Important dates

Paper submission due: June 30, 2019

Notification date: August 1, 2019

Camera-ready due: September 15, 2019

Conference date: November 16, 2019


TPC Chairs

Zhou Zhang, China Electrical System Engineering Company, China

Jianfeng Guan, Beijing University of Posts and Telecommunications, China

Lili Wang, Institute of Systems Engineering, Academy of Military Sciences, China

Di Zhang, National Innovation Institute of Defense Technology, Academy of Military Sciences, China

EAI Institutional Members