Editorial for Special Issue on Challenges Pervasive Network and Applications for Internet of Things

Editorial: This special issue features seven selected papers with high quality. The first article, “Mobile target positioning using refining distance measurements with inaccurate anchor nodes in chaintype wireless sensor networks” by Chengming Luo, Wei Li, Hai Yang, Mengbao Fan and Xuefeng Yang, As a class of long and narrow structures widely exist such as the river, road, mine tunnel, pipe, chain-type wireless sensor networks (CWSN) can be applied to monitor these environments. The accurate position estimation is a key technology for the mobile target in CWSN. This paper proposes an innovative positioning method to estimate the position of mobile target. Firstly, wireless signals can be affected by measurement noises, coordinate errors of anchor nodes, and chain scene structure. Kernel canonical correlation analysis is applied to analyze the correlation coefficients of these nonlinear wireless signal sets. Secondly, we search out two maximum correlative sets of wireless signals and integrate them into a set of optimal wireless signals. Thirdly, the uncertainty coordinate of anchor node is modeled and the position of mobile target is estimated under measurement and geometry constraints. Furthermore, we simulate the proposed method for mobile target, in comparison with the weighted least squares (WLS) and CHAN methods. Estimation results indicate that the proposed method can refine distance measurement accuracy and perform better positioning performance than WLS and CHAN methods, when we vary the conditions of TDOA/AOAmeasurement errors, anchor nodes coordinate errors, and anchor nodes spacing distance. Finally, the actual positioning experiments are implemented in a corridor, which show that the practical estimation results are similar to the simulation results. The second article, “Physical Memory Collection and Analysis in Smart Grid Embedded System” from Seokjun Lee and Taeshik Shon, Unlike the existing electric grid, the smart grid has a variety of functions that enable electric utility suppliers and consumers to perform dual exchanges of real-time information by adding IT technology. Therefore, the systems of smart grid suppliers and those of users are always connected through a network, which means that the systems related to the smart grid could become targets of malicious attackers. The various smart grid systems could have different hardware configuration from those of general systems, but their fundamental operating mechanism is the same as that of the general computer system. When a system is operating, its information and the data used by a program are loaded into the system’s memory. In this paper, we studied the method of physical memory collection and analysis in smart grid embedded systems in order to help investigate crimes related to smart grid s. In addition, we verify the method studied in this paper through the collection and analysis of physical memory in the virtual Linux environment using a virtual machine. The third, “Behavior and Capability based Access Control Model for Personalized TeleHealthCare Assistance” by Meriem Zerkouk, Paulo Cavalcante, Abdallah Mhamed, Jerome Boudy, Belhadri Messabih, With the growing proportion of dependant people (ageing, disabled users), Tele-assistance and Tele-monitoring platforms will play a significant role to deliver an efficient and less-costly remote care in their assistive living environments. Sensor based technology would greatly contribute to get valuable information which should help to provide personalized access to the services available within their living spaces. However, current access control models remain unsuitable due to the lack of completeness, flexibility and adaptability to the user profile. In this paper, we propose a new access control model based on K. W. Choi (*) Georgia Institute of Technology, Atlanta, GA, USA e-mail: kchoi.jopt@gmail.com