Special Issue on Selected Technologies and Applications in Wireless Communications for Smart City Computing

  • Zheng Xu
  • Yunhuai Liu
  • Xinrong Li

Developing smart city is the key to the next generation urbanization process for improving the efficiency, reliability, and security of a traditional city. The concept of smart city includes various aspects such as environmental sustainability, social sustainability, regional competitiveness, natural resources management, cybersecurity, and quality of life improvement. With the massive deployment of networked smart devices/sensors, unprecedentedly large amount of sensory data can be collected and processed by advanced computing paradigms which are the enabling techniques for smart city. For example, given historical environmental, population and economic information, salient modeling and analytics are needed to simulate the impact of potential city planning strategies, which will be critical for intelligent decision making. Analytics are also indispensable for discovering the underlying structure from retrieved data in order to design the optimal policies for real time automatic control in the cyberphysical smart city system. Furthermore, uncertainties and security concerns in the data collected from heterogeneous resources aggravate the problem, which makes smart city planning, operation, monitoring and control highly challenging. The submitted manuscripts were reviewed by experts from both academia and industry. After two rounds of reviewing, the highest quality manuscripts were accepted for this special issue. Totally, 15 papers are accepted. This special issue will be published by International Journal of Wireless Information Networks as special issues.

The paper “Structural Modeling and Performance Analysis of Rotary Circuit in Directional Drilling Rig Based on Load Sensing Technology” by Wang, to verify the validity of the mathematical model and the simulation analysis, an experimental platform of the load sensing hydraulic system was built. The paper “Research and Improvement of Wireless Sensor Network Secure Data Aggregation Protocol Based on SMART” by Wang and Chen, present a new dynamic slicing D-SMART algorithm which based on the importance degree of data. The proposed algorithm can decrease the communication overhead and energy consumption effectively while provide good performance in preserving privacy by the reasonable slicing based on the importance degree of the collected raw data. The paper “Deadband Scheduling in Sensor Node and Controller Node for Wireless Networked Control Systems” by Tang et al., use the deviations and their variation rate to build another deadband. Simulation results indicate that the proposed deadband scheduling method significantly achieves dynamic performance in WNCS, while effectively reducing network delays and network data packet traffic. The paper “The Research of User’s Behavioural Decision on Intelligent Home Control and Sensing System” by Xie and Xu, presents a decision method for user’s behaviours which based on the C4.5 algorithm, selecting samples from data collected by intelligent home system, analysing and processing samples to generate a decision tree. The paper “Chaos Synchronization of Complex Network Based on Signal Superposition of Single Variable” by Li et al., Lorenz system is taken for example to demonstrate the effectiveness of the presented method for a complex network of arbitrary topological type, and the dynamics analysis of the Lorenz chaotic system is given.

The paper “Conformance Test of AUTOSAR Network Management” by Luo and Xie, focuses on designing an approach for the conformance test of AUTOSAR network management (NM). After analyzing the state machine of the NM module, a new approach based on the virtual network simulation is proposed according to the characters of the NM module. The paper “A Distributed Management Method Based on the Artificial Fish-Swarm Model in Cloud Computing Environment” by Luo, presents an artificial fish to achieve mutual cooperation of nodes in the distributed management method. The paper “Iterative Learning Control for Network Data Dropout in Nonlinear System” by Su et al., presents iterative learning control for data dropout in nonlinear system. The parallel distribution compensation method is used to determine the T–S nonlinear model and the nonlinear model is converted into local linear model. The paper “Flow Field Simulation and Experimental Study of Friction Aided Jet-Electro-Deposition Based on the Wireless Information Networks” by Huang et al., developed a simulate model of the flow field to simulate the velocity of the electroplating solution and investigate the influence of flow field on electro-deposition at different electrode gaps. The paper “Power Line Communication with Network Transmission Data Loss Based on Learning Control” by Su et al., proposed power line communication with transmission data. An iterative learning control method for the power line communication is studied by P-type learning control law.

The paper “An Improved LEACH Routing Algorithm for Wireless Sensor Network” by Huang et al., proposes a new energy efficient routing algorithm (NF-LEACH). In the new algorithm, There are many factors have considered to prolong the network life cycle that they are the degree of membership, residual energy, base station distance and data transmission mode. The paper “Intermittent Fault Diagnosability of Hyper Petersen Network” by Jiang and Liang, investigate the intermittent fault diagnosability of hyper Petersen networks. The paper “An Compression Technology for Effective Data on Cloud Platform” by Zhu and Zhou, in order to preserve them and make fun use of the storage space, those effective data must be compressed and those compressed data, if necessary, should be recovered correctly. The paper “A Safe Proactive Routing Protocol SDSDV for Ad Hoc Network” by Ye et al., based on the traditional proactive routing protocol for Ad Hoc network, an improved safe routing strategy SDSDV is put forward to resist attacks against routing protocols. The paper “A Review on Key Technologies of the Distributed Integrated Modular Avionics System” by Wang et al., review the Key Technologies of the Distributed Integrated Modular Avionics System.

We would like to thank all reviewers who have helped in the papers review process, and the authors for their contribution and efforts to complete the papers with a very high quality. Finally, we express our gratitude to Dr. Kaveh Pahlavan for initiating this special issue and inviting us to undertake this rewarding activity.

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Shanghai UniversityShanghaiChina
  2. 2.Peking UniversityBeijingChina
  3. 3.University of North TexasDentonUSA

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