The distributed dynamic network is vulnerable to scanning attacks due to the openness of wireless channels. Traditional defense systems tend to be passive and exhibit delayed responses. A moving target defense approac...
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This work considers a blind detection problem in the distributed multiple-input multiple-output (MIMO) networks, i.e., wireless sensor, co-operative, IoT networks, etc., without knowing the encoding schemes of users, ...
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In the world of wireless communication, the Medium Access Control (MAC) protocol sports a pivotal task in managing access to the shared communication medium. This project proposes a change to the existing ieee 802.11 ...
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On-board sensors are utilized for monitoring and collecting a diverse range of data pertaining to the vehicle and its surroundings. However, in the field of Internet of Vehicles, security threats encountered by vehicl...
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The Internet of Things (IoT) driven latency-critical applications are deployed on lightweight Micro-Clouds at the network's edge. Renting physical space from geographically distributed colocation datacenters conne...
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ISBN:
(纸本)9798350304817
The Internet of Things (IoT) driven latency-critical applications are deployed on lightweight Micro-Clouds at the network's edge. Renting physical space from geographically distributed colocation datacenters connected via a Wide Area Network (WAN) is a cost-effective way of deploying Micro-Clouds, despite WANs' dynamic communication latency from traffic congestion. However, this deployment approach can limit Micro-Clouds to operate within a soft power budget, as colocation datacenter providers utilize it to add more servers and lower capital costs through oversubscribing power infrastructure. As a result, Micro-Clouds use extreme energy reduction measures like power capping and task throttling to address power overdraw events, where power consumption exceeds soft power budget limits, which reduces the performance of latency-critical applications. We propose a solution where a dynamic power budget can be achieved by adding renewable energy sources to the existing soft power budget without upgrading power delivery systems. To take advantage of this, we propose a dynamic, decentralized task-scheduling algorithm called DEMOTS. DEMOTS effectively utilizes the available dynamic power budget in a WAN with varying degrees of network traffic congestion, thereby avoiding the need for extreme energy reduction measures. We implement DEMOTS on a simulation test-bed. Compared to state-of-the-art baseline using MCOP for decentralized task-scheduling in Micro-Clouds, DEMOTS reduces Power Overdraw Impact up to 19%, Task Latency Increase Impact up to 47%, and Task Schedule Time Impact up to 49%.
The proceedings contain 105 papers. The topics discussed include: design of a water surface robot photographer with the optimized interface photography algorithm;motion control of training robot with enhanced defecati...
ISBN:
(纸本)9798350372601
The proceedings contain 105 papers. The topics discussed include: design of a water surface robot photographer with the optimized interface photography algorithm;motion control of training robot with enhanced defecation control ability based on active and passive;data-driven discovery of unmanned aerial vehicles dynamics;a light waveguide bending sensor with a high sensing range and high sensitivity;haptic rendering of arthroscopic meniscus examination in SOFA;enhanced small ship segmentation with optimized ScatYOLOv8+CBAM on embedded systems;robotic assistance for standardized compression ultrasound elastography;learning capability to enhance locomotion control and planning for legged robots;deformability-aware stiffness-guided robotic grasping strategy based on tactile sensing;and a building information modeling (BIM)-enabled robotic system for automated indoor construction progress monitoring.
This paper is mainly concerned with the problem of distributed state estimation of nonlinear systems over a wireless sensor network under restricted bit rate. Taking into account the network transmission burden, an ev...
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ISBN:
(数字)9781665495721
ISBN:
(纸本)9781665495721
This paper is mainly concerned with the problem of distributed state estimation of nonlinear systems over a wireless sensor network under restricted bit rate. Taking into account the network transmission burden, an event-based encoding and decoding method is proposed to schedule the transmission measurement of each sensor. Under a synchronism schedule, the distributed filtering is derived in this paper. By constructing the Lyapunov function, sufficient conditions of the existence of distributed filtering are given. Finally, a simulation example is presented to certify the effectiveness of the proposed algorithm.
Today, Wireless medium-based communication carries lots of benefits to human life with various aspects like telecommunication, medical facilities, military, and many more. If communication is secure, then the impact o...
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In this paper, we have modeled a low-noise amplifier that we have adapted using a multisection filter at the input, a distributed-element bandpass coupled-resonator filter at the output, and a third notch filter for i...
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Invasive species have increasingly become a problem in recent years. Climate change and changing environmental conditions allow them to conquer new habitats. E.g. the Brown Mamorated Stink Bug (lat. halyomorpha halys)...
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