CALL FOR PAPERS
Most of the research and technological advancements have vitalized the ubiquitous information access and communication around the globe. The connectivity has been extended from unmanned aerial vehicles, self- driving vehicles on the road, power generation plus distribution hubs, industries, markets, to the tiny wireless communication devices that are expected to be attached with everything situated onshore, offshore, or in the air. All of these devices generate and share information to be accessed by communities (ranging from a block to a nation), which will improve their quality of life by making smart decisions. Access to such information (real-time to big data) should be open to all members and classes of any Smart Community. Hence, the technology, more specifically, the communication technology, plays an important role to realize a smarter community.
Having said that, the existing Internet architecture is host centric and intended for end-to-end communication between hosts by establishing a path first. This architecture has evolved to enable communication between varying-nature protocols, Bluetooth, ZigBee, LTE, etc. that increased the network complexity. As a result, the academia and industrial collaboration are making attempts to substrate the connectivity, routing, and other functions and transfer all the functions to software rather than embedding it within the hardware. This continual transformation in communication technologies keep improving the QoS and QoE despite their roots in mobile networks, content delivery, home connectivity, wireless, enterprise, IoT, data centers, cloud computing, and backbone networks. Likewise, the IoT is progressively being used by various firms and industries for the planning and development of future Smart Communities. However, without utilizing the previous context of the cities, it is quite difficult to design and build a foreseen future Smart Community. Therefore, the data generated by various IoT-enabled devices needs to be efficiently processed through various techniques and tools such as Hadoop ecosystem, etc. However, the existing techniques based on Map-Reduce paradigm, etc. are mainly designed to process offline data. Moreover, the existing technologies such as Software Defined Network (SDN), etc. can be made more intelligent and efficient to communicate the huge amount of data over the existing network with high speed.
The theme of this Feature Topic is to provide an in-depth analysis both theoretically and analytically of the current advances in processing real-time data for optimal planning and management of a smart community. Moreover, we are looking for answers of the following questions: How much is the effect of SDN can be in simplifying the enormous devices setup in developing Smart Communities? On the contrary, where do we need to focus on while bridging current networking technologies to build smarter communities? What kind of education and training are required for citizens of such communities to take full benefits of the proposed architectures? What kind of ground breaking applications can make communities smarter? What will be the acceptability aspects of Smart Communities? In addition, the authors are expected to investigate state-of-art research challenges, results, architecture, applications, and other achievements.
Topics of interest include, but are not limited to:
- Smart Community architectures and planning using WSN
- The role of IoT in the planning of future Smart Communities
- Smart management and services
- Deployment of sensors and embedded devices
- Smart homes, Buildings, Campuses, and Applications
- The role of Cloud Computing in IoT-based Smart Communities
- Big Data Analytics and Smart Communities
- IoT-enabled devices and technologies
- Real-Time data processing using Hadoop, SPARK, GraphLab, etc.
- System, design, modeling and evaluation
- Industrial applications of Smart Communities
- Future Internet cohesion with applications for Smart Communities
Syed Hassan Ahmed
Kyungpook National University, Republic of Korea
Polytechnic University of Valencia, Spain
Danda B. Rawat
Howard University, Washington D.C., USA