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Research on Law of RSSI Fluctuation of Wireless sensor Networks 3

Research on Law of RSSI Fluctuation of Wireless Sensor Netwo...

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3rd international conference on Computer Vision, Image and Deep Learning and international conference on Computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Xin, Qiangwei Zhang, Wei Xianyang Normal University School of Computing Xianyang712000 China

ISBN: (纸本)9781665459112

With the advent of the data age, wireless sensor networks that can collect data and monitor and control according to data will play a more and more important role. In wireless sensor networks, we can locate or perceive and identify the state of things according to the disturbance of received signal strength (RSSI). This paper analyzes the fluctuation of RSSI, The experiments in the real scene show that the RSSI under interference has the characteristics of sinusoidal or cosine fluctuation, and is symmetrical along the midpoint of the nodes of the transmitting signal and the receiving signal. The interference formed by the same interference source at the midpoint has the least disturbance to the RSSI. © 2022 ieee.

关键词： Wireless sensor networks

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A Wireless In-Shoe Plantar Pressure Sensing System with Embedded sensor Condition Analysis 3

A Wireless In-Shoe Plantar Pressure Sensing System with Embe...

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3rd international conference on Smart Generation computing, Communication and Networking, SMART GENCON 2023

作者： Mondal, Mousumi Majumder, Shromana Chandra, Soumyak Pal, Debasmita Gupta, Rajarshi Mukhopadhyay, Sumitra University of Calcutta Radio Phyics and Electronics Kolkata India University of Calcutta Electrical Engg. Applied Physics Kolkata India

ISBN: (纸本)9798350319125

Early detection of diabetic foot ulcer (DFU) can prevent foot amputation, related health complications and even early death. Research has shown that plantar pressure analysis can provide early predictions of DFU. In this paper, an indigenous wearable plantar pressure sensing system with embedded reliability analysis is presented. The sensing module can be controlled from a mobile phone user interface for continuous data acquisition from six Flexiforce pressure sensors attached to the insole of a shoe. The entire development consists of sensors, an indigenous front end DAQ, and a mobile phone. The signal conditioning consists of pressure to voltage conversion up to 3.3V to feed a multi-channel ADC and an ARM v6 microcontroller, which communicate the data stream to the mobile phone using a Bluetooth communication for continuous storage. An embedded sensor condition analysis (ESCA) also detects the sensor loose contact, sensor detachment which may occur in continuous monitoring applications. Accordingly, the Bluetooth transmission of the corresponding channel is replaced by a fixed character to save battery power. The processing flow consists of deep autoencoder based feature extraction, and random forest classifier for prediction, with the accuracy of 91% over 720 number of blind trials. The standalone deployment of processing pipeline in the ARM v6 controller required 10.39 kbytes of memory and 1.21 s to process 3 s sensor data for embedded reliability analysis. Future end-to-end connectivity of the sensing and analysis system can be useful for wearable health monitoring. © 2023 ieee.

关键词： Data acquisition diabetic foot ulcer plantar pressure prediction

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A survey of node localization in wireless sensor networks using various Optimization algorithms 3

A survey of node localization in wireless sensor networks us...

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3rd international conference on Smart Technologies in computing, Electrical and Electronics, ICSTCEE 2022

作者： Devika, E. Saravanan, A. Sree Saraswathi Thyagaraja College Department of Computer Science Pollachi India

ISBN: (纸本)9781665456647

Wireless sensor networks (WSNs) encounter a variety of challenges as a result of their constrained resource and power restrictions for different network topologies. Due to the restricted resource limits and wireless transmission system characteristics, secure communication can be difficult. An extensive amount of study has been done to effectively optimize or minimize Direction of Arrival (DOA). The reduction of communication overhead can be improved through perfect node localization in wireless sensor networks (WSNs). In this survey, minimization of energy in sensor nodes problem has been addressed along with various optimization Meta heuristic algorithms. In this article, we examine the principal coverage optimization procedures and outline current unresolved questions in the field of energy-efficient covering. © 2022 ieee.

关键词： Energy utilization

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Joint Energy and Computation Workload Management for Geo-distributed Data Centers in Smart Grid 23

Joint Energy and Computation Workload Management for Geo-Dis...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Li, Zizhen Wang, Ran Zhu, Kun Yi, Changyan Liu, Linfeng Niyato, Dusit Nanjing University of Aeronautics and Astronautics Nanjing China Nanjing University of Posts and Telecommunications Nanjing China Nanyang Technological University Singapore

ISBN: (纸本)9781665494571

With the increasing demands of data computation and storage for cloud-based services, the energy demand of data centers (DCs) is rising rapidly and becoming a noticeable challenge for current power networks. The smart grid (SG) is deemed as the future power system paradigm enabling more affordable and sustainable energy supply, which can effectively relieve the power load pressure of DCs. Moreover, with growing concerns regarding harmful emissions due to combustion of fossil fuels, the exploitation of renewable energy sources (RES) has attracted extensive attention, benefiting both SGs and DCs at large. However, the geo-distributed property of DCs and SGs, as well as the uncertain nature of RES production pose severe challenges to the optimal management of computation and energy resources in such coupling system. Focusing on these issues, a joint energy and computation workload management framework is proposed for enabling a sustainable DC paradigm with distributed RES. Specifically, to model the interactions between data center operator (DCO) and SGs, a Stackelberg game is formulated. The SG offers the DCO an electricity selling price to maximize the benefit. The DCO allocates the computation workload to geo-distributed DCs, aiming to minimize the costs of energy consumption and carbon emissions. We obtain the equilibrium state of the game and prove its uniqueness and optimality. Simulation experiments are conducted to evaluate the performance of the proposed scheme, showing that it can achieve considerable cost savings over counterparts. The proposed approach and obtained results provide useful insights for helping the DCO developing rational management strategies. © 2021 ieee.

关键词： Data centers Costs Smart cities Computational modeling Games Carbon dioxide Data models

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Smart Transportation systems: The Role of IoT and sensor-Based Solutions 3

Smart Transportation Systems: The Role of IoT and Sensor-Bas...

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3rd ieee international conference on Automation and Computation, AUTOCOM 2025

作者： Agarwal, Ankita Seth, Kanika Sahoo, Shreeya Swagatika Parmar, Yuvraj Dasarathy, A.K. Siva Sangari, A. Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Centre for Cyber Security Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Department of Civil Engineering Karnataka Bangalore India Sathyabama Institute of Science and Technology Department of Information Technology Tamil Nadu Chennai India

ISBN: (纸本)9798331542375

Smart transportation systems are sophisticated technology solutions that deploy the Internet of Things (IoT) and sensor-based data platforms to transform one's existing erratic transportation network into an efficient system. The Internet of Things, which combines all devices and systems connected to the Internet, is changing our management and operation of transportation systems. Real-time data from sensors installed on vehicles, infrastructure, and other transport assets is one of the biggest benefits IoT can offer to transportation. This data will reduce traffic congestion, improve road safety, and help buses move smoothly in terms of traffic flow. A good way of illustrating this is through sensors equipped with traffic lights that communicate to the cars, where they can adjust between red and green light times while in action, thus causing fewer accidents on the road. loT likewise can lessen energy consumption and emissions, driving by way of the sustainability lens on transportation systems. Smart traffic management systems can adjust routes for vehicles, saving fuel and emissions. Cars and even electric vehicles can be configured using the same platform through this system will deliver higher efficiency for managing charging stations. Additionally, IoT and sensor integration are important for the growth of autonomous vehicles. These vehicles need immediate input from cameras, radars, and LiDARs to move around safely. IoT will allow these vehicles to communicate, and the transportation infrastructure will lead to a safer means of transport. © 2025 ieee.

关键词： Traffic congestion

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Prediction of distributed Denial of Service Attacks in SDN using Machine Learning Techniques 3

Prediction of Distributed Denial of Service Attacks in SDN u...

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3rd ieee international conference on Intelligent Technologies, CONIT 2023

作者： Sekar, R. Raja Jenny, Ardhala Mounika Sreshta, Dubba Vikas, M. Ajay, Dasari Badri Nageshwar Ganesh, Mankena Kalasalingam Academy of Research and Education Department of Computer Science Amd Engineering Virudhnagar Krishnankovil India

ISBN: (纸本)9798350338607

A network architecture known as "software-defined networking"(SDN) enables the design and creation of hardware elements remotely. Due to their permanent connections, you can modify on the go. Even if SDN remains fantastic approach, Internet-threatening DDoS occurrences may exploit it. DDoS occurrences may be stopped with the use of machine learning techniques. When numerous systems work together to assault a server, it is called a DDoS attack. A control layer software manages the devices of the infrastructure layer and enables SDN by linking the application layer to the infrastructure layer. [1] The methods for identifying malicious traffic that we discuss in this work include decision trees, Cat Boost, and Extra trees. The outcomes of our tests demonstrate that Decision Tree, Cat Boost, and Extra Tree are capable of determining if the attack is safe or not. © 2023 ieee.

关键词： Decision trees

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A Real-time Demand Response Strategy of Home Energy Management by Using distributed Deep Reinforcement Learning 23

A Real-time Demand Response Strategy of Home Energy Manageme...

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作者： Liu, Weirong Wang, Yujie Jiang, Fu Cheng, Yijun Rong, Jieqi Wang, Chenglong Peng, Jun School of Computer Science and Engineering Central South University Changsha China School of Automation Central South University Changsha China

ISBN: (纸本)9781665494571

Home energy management system (HEMS) autonomously schedules the energy usage of home electricity consuming devices to reduce the electricity cost based on real-time electricity price. However, it is very challenging to design an optimal energy management strategy under the uncertainty of the resident's behavior, outdoor temperature and renewable generation. To solve this problem, a real-time demand response (DR) strategy based on deep reinforcement learning (DRL) is proposed. Firstly, the real-time DR management problem is modeled as a Markov game, and then a home energy management algorithm is proposed based on Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MATD3). It is worth mentioning that the proposed algorithm builds the thermal dynamics model and takes energy storage system (ESS) into account, which improves the utilization of renewable power generation effectively. The simulation result based on real-world data demonstrates the effectiveness of the proposed algorithm. © 2021 ieee.

关键词： Renewable energy sources Schedules Costs Uncertainty Heuristic algorithms Simulation Reinforcement learning

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Identification of distributed Generation from Load data in Power systems 3

Identification of Distributed Generation from Load data in P...

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3rd international conference on New Energy and Power Engineering, ICNEPE 2023

作者： Li, Wenyun Zhang, Shitong Dong, Shitao Tang, Yachen Yin, Xinglong. Liu, Guangyi Shi, Huixuan Yunnan Power Grid Co. Ltd Kunming China Envision Digital Smart Grid Department Beijing China Envision Digital Smart Grid Department Redwood City United States Yunnan Power Grid Co. Ltd Chuxiong China

ISBN: (纸本)9798350393224

In modern power systems, distributed energy resources (DER) can ensure grid stability, meet load demand, and better plan and manage grid operations, making its role increasingly significant. Grid operators usually need to plan long-term and short-term grid operations, including load forecasting, power supply, and power distribution. Therefore, existing data management methods often model distributed generation as part of the load to simulate how distributed generation matches the actual load level. The equivalent distributed generators of the 10kV and 35kV outgoing lines of the transmission grid in the given data are currently modeled as loads. Some DERs exhibit load-like characteristics at certain times of the day, while displaying distributed generation characteristics at other times. This makes it challenging to differentiate between distributed generators and loads during scheduling management or equipment management. Therefore, this paper proposes an identification method for distributed generation and load based on graph database technology. The method uses the given real transmission network model data of a province to build a graph model, and performs naming rule verification, topology inspection, plant station power balance verification, and other identification steps in order to identify distributed generation from the existing load data. © 2023 ieee.

关键词： distributed generation graph database naming rule verification substation power balance topology check

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Exploring the Design of distributed Task-Driven Networks within the Framework of SDN Network Architecture 3

Exploring the Design of Distributed Task-Driven Networks wit...

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3rd international conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Zheng, Xueli Wang, Xiaoxi Cai, Jiakun Shan, Zhihuai Yu, Jing Aeronautical Radio Electronics Reseach Institute Science and Technology on Avionics Integration Laboratory Shanghai China Gauss Intelligent Technology Co. Ltd. Wireless Communication Research Laboratory Chengdu China

ISBN: (纸本)9798350316674

This article elaborates upon an aeronautical tactical network architecture grounded in distributed task requirements. In response to the communication demands inherent in future aerial combat paradigms, we have conceived a data-link network framework tailored to meet the imperatives of mission-driven scenarios. Owing to the intricate demands of the operational environment, conventional airborne data link systems encounter challenges when endeavoring to achieve cross-platform interoperability. The introduction of the Software-Defined Networking (SDN) architecture, however, furnishes a solution. Through centralized control and network management, it empowers constituents to promptly respond, engage in efficient decision-making, and facilitate collaborative combat operations. Furthermore, this article delves comprehensively into topics including task allocation and scheduling, as well as the southbound protocol overhead, offering viable resolutions. In contrast to traditional network optimization, the design philosophy of Software-Defined Networking (SDN) has been innovatively harnessed to shape a network architecture founded upon the principles of distributed task requirements. By amalgamating the tenets of SDN and task-driven attributes, this approach intertwines mission planning with network management, fulfilling the communication requisites of distributed task administration, ultimately culminating in a communication architecture tailored for aeronautical networks. © 2023 ieee.

关键词： Airborne Tactical Network distributed Tasks Network Optimization Software Defined Network

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BOBBLE: A Mixed Routing-Granularity distributed Load Balancing for Data Center Networks 23

BOBBLE: A Mixed Routing-Granularity Distributed Load Balanci...

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作者： Xu, Zhengzhi Lu, Yifei Ma, Xu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665494571

In current Datacenter Networks (DCNs), Equal-Cost Multipath (ECMP) is a default load balancing scheme. However, using ECMP may result in rapid growth of Flow Completion Time (FCT) due to its well-known drawbacks. In order to solve the problem of ECMP, load balancing schemes with per-packet granularity (such as RPS) and per-flowlet granularity (such as LetFlow) are proposed. These two different granularities have their own features, but there's no existing load balancing considering both their advantages. In this paper, we mix per-flowlet and per-packet in scheduling decisions and introduce the potential performance bottleneck in mixed granularities load balancing. Based on this idea, we propose a hybrid scheme for load balancing, referred to as BOBBLE. The key idea of BOBBLE is to distinguish elephant and mouse flows and schedule them with different granularity. We evaluate BOBBLE in simulations with NS-3. Experiment shows that BOBBLE slightly sacrifices elephant flows FCT but it is worthy because our results demonstrate that BOBBLE is a good trade-off which outperforms RPS and LetFlow in mouse flows FCT in both symmetric and asymmetric topology. © 2021 ieee.

关键词： Data centers Network topology Smart cities Load management Routing Mice Computer networks

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