The 17th International Conference on Mobility, Sensing and Networking (MSN 2021)
2nd International Workshop on Ubiquitous Electric Internet of Things
Session UEIoT
UEIoT
Conference
12:00 PM
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2:20 PM GMT
Local
Dec 13 Mon, 7:00 AM
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9:20 AM EST
A Secure And High Concurrency SM2 Cooperative Signature Algorithm For Mobile Network
Wenfei Qian, Pingjian Wang, Lingguang Lei, Tianyu Chen, Bikuan Zhang (State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, China)
0
Mobile devices have been widely used to deploy security-sensitive applications such as mobile payments, mobile offices etc. SM2 digital signature technology is critical in these applications to provide the protection including identity authentication, data integrity, action non-repudiation. Since mobile devices are prone to being stolen or lost, several server-aided SM2 cooperative signature schemes have been proposed for the mobile scenario. However, existing solutions could not well fit the high-concurrency scenario which needs lightweight computation and communication complexity, especially for the server sides. In this paper, we propose a SM2 cooperative signature algorithm (SM2-CSA) for the high-concurrency scenario, which involves only one-time client-server interaction and one elliptic curve addition operation on the server side in the signing procedure. Theoretical analysis and practical tests shows that SM2-CSA can provide better computation and communication efficiency compared with existing schemes without compromising the security.
On Firefly Synchronization of Sleep Phases in Energy Efficient Meshed Networks
Guido Dietl (Landshut University of Applied Sciences, Germany)
0
Energy efficiency is a key requirement for meshed networks which demand a high battery life and low maintenance costs. A state-of-the-art method to decrease power consumption is the sleep mode technique. However, to fully exploit the benefits of this method, it is important that the sleep phases of all network nodes are synchronized. Synchronizing these phases via coexisting systems like, e.g., a GPS or LTE signal, would require additional hardware which contradicts the goal of an energy efficient and low-cost system.
This paper introduces the sleeping firefly synchronization algorithm, i.e., a novel self-organized synchronization method which is based on pulse-coupled oscillators to synchronize the sleep phases of a meshed network where not all nodes have a direct connection to a master node. The algorithm not only synchronizes the network but also adapts the sleep phases in an autonomous manner, i.e., each node decides about phase changes and on the duration of a sleep phase by itself. Numerical results show that meshed networks synchronize mostly in a few cycles and that huge energy savings are possible in the synchronization phase when applying the proposed algorithm.
This paper introduces the sleeping firefly synchronization algorithm, i.e., a novel self-organized synchronization method which is based on pulse-coupled oscillators to synchronize the sleep phases of a meshed network where not all nodes have a direct connection to a master node. The algorithm not only synchronizes the network but also adapts the sleep phases in an autonomous manner, i.e., each node decides about phase changes and on the duration of a sleep phase by itself. Numerical results show that meshed networks synchronize mostly in a few cycles and that huge energy savings are possible in the synchronization phase when applying the proposed algorithm.
Power information integrated display system based on interconnection technology
Xiazhe Tu, Chao Xun, Xiangyu Wu, Jinbo Li, Lingyi Yang (Economic and Technological Research Institute State Grid Fujian Electric Power Co., Ltd, China)
0
The system aims to build a mobile application with the functions of power index information display, independent group table, message push, personal information and so on. This application is based on the relevant data information of planning system and SOD system, applies big data distributed storage and computing technology, and takes big data platform as the core. the system adopts the infrastructure of stateowned network APP and is embedded in state-owned network APP through mobile web pages to create an independent business application module. At the same time, the system based on the same architecture also has an independent app operation mode. The design of the system follows the principles of front-end and back-end separation, service layered decoupling, micro service distribution and asynchrony. At the same time, following the three-tier architecture of data layer, service layer and presentation layer adopted by the mainstream of software development, the statistical data such as distribution, supply, use, sale, equipment and investment are displayed, which improves the convenience of obtaining statistical data.It has promoted the full utilization of the value of statistical data and the end link of statistical business to a new level.
Research and Application of Intelligent Distribution Network Planning for Multi-Source Data Fusion
Zhe Wang, Hongda Zhao, Mingxia Zhu (Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co., Ltd, China)
0
In the power system, the distribution network plays a vital role. With the increase of power demand, traditional distribution network planning is difficult to meet the demand while ensuring power supply reliability and power quality. Based on big data technology, we propose the intelligent planning of distribution network for multi-source data fusion, and use the unit system planning of distribution network as the core construction content of intelligent planning research and application. Intelligent planning of the distribution network can better respond to the problems and challenges faced by the power grid.
Research on Visual Engine of Smart Planning System Based on Internet of Things
Hongda Zhao, Mingxia Zhu, Zhe Wang (Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co., Ltd, China)
0
In recent years, the widespread application of the Internet of Things, big data and artificial intelligence has brought a significant and far-reaching impact on the development of human information industry. In the context of smart city planning and construction, it has become a trend to deepen the development of professional planning applications based on the power grid GIS platform, and it has also become a reasonable demand to establish a visual support engine that supports the entire business process of coverage planning. Since the existing GIS platform mainly focuses on the real-time maintenance and management of the power grid, and the development major pays more attention to the development and trend of the future power grid, this article deepens the professional application of development planning on the basis of the power grid GIS platform, and develops the visualization of the intelligent planning system based on the Internet of Things Engine research and application development. The engine realizes automatic analysis on the statistics stage diagram, efficient design on the planning stage diagram, intelligent decision-making on the planning stage diagram, and dynamic tracking on the construction stage diagram. In general, it constructs a visual work engine suitable for the development of different professions and improves the efficiency of planning and design work.
Session Chair
Ying Ma (Xiamen University of Technology, China)
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