Created 21 August 2015
As sensor network organization is increasing in complexity, the ability to efficiently utilize the system requires a better understanding of the functional components and their interrelations. The connectivity of wireless sensor networks to the cloud environment has opened the door for a range of options towards system operation, scalability, and flexibility. This has encouraged research work to develop at both the physical sensor network level, as well as the cloud and related virtualization level. This could lead to a highly complex system with an environment that could have the ability to evolve with intelligence and offer a wide range of reliable and efficient services.
At the sensor network level, various researchers have looked into the formation of network organization in capturing the dynamics of the phenomenon. Here, for example, the grouping of network nodes—or what we call the formation of physical sensor clouds (PSC)—on functional, spatial, temporal, and/or spectral basis is ongoing research. This targets unfolding best operational practices for cyber physical systems. On the other hand, a significant amount of research work has been targeting the area of virtualization of the PSC and their related cloud services. The term “xx as a service” has been used extensively to reflect the range of services offered. Aspects like the process, the data, the infrastructure, the software, or even the QoS as a service have been explored. With a rich digital environment, the cloud is hosting aspects of intelligence, including ambient intelligence, opening the door for managing system behaviour and related training at large and, thus, allowing for better interaction with the process dynamics.
Further system complexity results from the inclusion of social and scientific data. They have started to play an important role in understanding the complex dynamic process behaviour, through cross-correlation among the behaviours in each of these domains. These aspects, among others, contribute to the increasing complexity of sensor network systems. The challenge here is the need to understand and manage the behaviour at both the component and system levels. This should then encourage the formation of an organic organisation that is manageable, dependable, and lends itself to better operational efficiency, flexibility, and scalability.
This Special Issue is trying to focus the efforts toward unfolding the key parameters and system organisations that could help in formulating an evolving system that is dependable, scalable, and flexible. The goal is to encourage new ideas that reflect potential in supporting a system organisation that could have the ability to adapt flexibly in capturing the dynamics of a physical phenomenon efficiently, and offer the related quality of services with the least human intervention. This could be at the sensor network level, IoT level, sensor cloud level, and cloud services level.
Cyber Physical System (CPS) and Physical Sensor Cloud (PSC) formation.
IoT based PSC and related data management.
Virtual sensor clouds and cloud services.
Data organization, analysis and visualization.
Cloud based sensor network architectures.
Evolving sensor network organization and dynamic system training.
Sensor network and ambient intelligence. Sensor Network QoS as a service (QoSaaS).
Dynamic interaction of sensor network data, social data and/or scientific data.
Adaptive sensor networks, self-organization, and trust
Big data and event detection
Case studies and applications in various challenging areas of smart cities: e.g., eHealth, Ambient Assisted Living, Intelligent Transportation Systems, logistics of perishable goods, and others.
Other related areas.
Prof. Dr. Adnan Al-Anbuky
Prof. Dr.-Ing. Christian Müller-Schloer
Prof. Dr. Antonio Puliafito
Prof. Dr. Franco Davoli
Created 3 October 2014
Online discussion group on the foundations of information science. Group members receive a daily summary of new discussions by e-mail (if there are any new discussions or comments). Citations related to information science and information concepts can be added to the "Bibliography" section. Where available, the access to the PDF version of referenced papers can be requested from other users of the group.
Created 13 February 2015
Changes to and notes on the Sciforum Journal Reviews platform. Follow the group if you want to be notified about future updates and major changes to the platform.
Created 16 July 2014
The resolution of the Gibbs paradox has been very controversial. A list of papers mainly published in journals on this topic has been compiled by Dr. Shu-Kun Lin (E-mail: firstname.lastname@example.org) and is presented in this group. Comments and suggestions for additional papers to be listed here are welcomed.
Created 14 November 2014
Blog maintained by Dr. Shu-Kun Lin, the president of MDPI.
Created 22 January 2015
The Special Issue "Immune Mechanisms in Fish" is available at http://www.mdpi.com/journal/biology/special_issues/immune-fish.
Fish immunity studies are at a pivotal point. Genomes of zebrafish and fugu have been examined in detail, those of rainbow trout, cod and coelacanths have recently been released, allowing for comparative studies revealing key evolutionary differences, such as lobe-finned fishes more closely resembling tetrapods or the lack of major histocompatibility class II and associated accessory genes in cod. In addition, novel technologies such as RNAseq have permitted large scale views of gene regulation. Functional studies in fish have provided novel regulatory and effector mechanisms that, upon subsequent study, are also present in mammals, such as transferrin activation of macrophages and phagocytic B cells. With this basis, future functional studies will provide even deeper insights into both mechanisms of fish immunity and the evolution of immune systems. For this special issue, we will review the state of the art in key areas of fish immunity as a basis for future studies.
Prof. Dr. Brian Dixon
Created 27 January 2015
Welcome. I have edited Land for two years, and have been asked to moderate an environmental discussion. I'd like to raise a few points for your feedback, and please add new points.
1. Environment is very broad in my view, it includes science and social science. Is there a bias towards science in environmental publishing? If, so how do we get a better balance? Should we seek balance?
2. Some environmental journals (or journals that publish environmental articles) have very high Impact Factors - Nature, Science and PNAS ... How do we capture papers from those journals or get the authors that write in them to write for MDPI journals?
3. What are the future trends in environmental research? My thoughts are climate change will remain a clear leader, but we need to get other change vectors on a same level especially land use change/population change/socio-economic change. Solutions focussed research will be more and more important, but we do not want to loose the importance of understanding why the environment operates in that way that it does and how the problems to be solved arise.
All comments welcome. Andrew Millington
Alfredo J. Escribano
Created 15 July 2015
From agricultural policy to table: the whole agrofood system and its relationship with sustainability
Created 15 September 2016
This group invite all researchers working in the multi-disciplinary area of agent based modeling (ABM).
Created 16 September 2016
To Share and discuss the advancements in Structual Health Monitoing Applications ,-Instrumnetation,Algotrithms,Inplementation,Challenges etc.