Wireless sensor networks (WSNs) play an important role in the industrial Internet of Things (IIoT) and have been widely used many fields to gather data monitoring area. However, due open nature wireless channel resource-constrained feature nodes, how guarantee that sensitive can only be accessed by a valid user becomes key challenge IIoT environment. Some authentication protocols for WSNs proposed address this issue. previous works more or less their own weaknesses, such as not providing...

Wireless Sensors Networks (WSNs) are susceptible to many security threats, and because of communication, computation delay constraints WSNs, traditional mechanisms cannot be used. Trust management models have been recently suggested as an effective mechanism for WSNs. Considerable research has done on modeling managing trust. In this paper, we present a detailed survey various trust that geared towards Then, analyze applications models. They malicious attack detection, secure routing, data...

The Internet of Things (IoT) is an emerging technology and expected to provide solutions for various industrial fields. As a basic the IoT, wireless sensor networks (WSNs) can be used collect required environment parameters specific applications. Due resource limitation node open nature channel, security has become enormous challenge in WSN. Authentication as service guarantee legality data access Recently, Chang Le proposed two authentication protocols WSN different requirements. However,...

The past year has witnessed the rapid development of applying Transformer module to vision problems. While some researchers have demonstrated that Transformer-based models enjoy a favorable ability fitting data, there are still growing number evidences showing these suffer over-fitting especially when training data is limited. This paper offers an empirical study by performing step-by-step operations gradually transit model convolution-based model. results we obtain during transition process...

Twitter sentiment analysis has become a hot research topic in recent years. Most of existing solutions to basically only consider textual information messages, and struggle perform well when facing short ambiguous messages. Recent studies show that diffusion patterns on have close relationships with polarities Therefore, this paper, we focus how fuse messages obtain better performance data. To end, first analyze by investigating phenomenon called reversal, find some interesting properties...

Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the spatial structure? To answer this question, we present You Only Look at One Sequence (YOLOS), series of object detection models based on vanilla Vision fewest possible modifications, region priors, as well inductive biases target task. We find that YOLOS pre-trained mid-sized ImageNet-1k dataset only can already achieve quite competitive performance...

Modern power grid is the most complex human-made system, which monitored by wide-area monitoring system (WAMS). Providing time-synchronized data of operating states, WAMS will play a crucial role in next generation smart protection and control. helps secure efficient energy transmission as well reliable optimal management. As key enabler grid, numerous sensors such PMU current transmit real-time dynamic data, usually protected encryption algorithm from malicious attacks, over...

QoS routing is an important research issue in wireless sensor networks (WSNs), especially for mission-critical monitoring and surveillance systems which requires timely reliable data delivery. Existing work exploits multipath to guarantee both reliability delay constraints WSNs. However, the approach suffers from a significant energy cost. In this work, we exploit geographic opportunistic (GOR) provisioning with end-to-end GOR protocols are not efficient WSNs, terms of efficiency computation...

ABSTRACT With the development and maturation of wireless communication technologies, sensor networks have been widely applied in different environments to acquire specific information. The medical (WMSNs), as a professional application medicine, attracted more attention because its potential improving quality healthcare services. Through WMSNs, parameters patients' vital signs can be gathered from nodes equipped on body patients then accessed by professionals using mobile device. By reason...

Resource scheduling is one of the most important issues in mobile cloud computing due to constraints memory, CPU, and bandwidth. High energy consumption low performance memory accesses have become overwhelming obstacles for chip multiprocessor (CMP) systems used systems. In order address daunting "memory wall" problem, hybrid on-chip architecture has been widely investigated recently. Due its advantages size, real-time predictability, power, software controllability, scratchpad (SPM) a...

Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module autonomous vehicles and Driver Assistance Systems (DAS). To overcome low flexibility accuracy vision-based heuristic algorithms high power consumption deep learning-based methods, we propose a lightweight real-time traffic light detector for vehicle platform. Our model consists candidate region selection identify...

In cloud computing, computational resources are provided to remote users in the form of leases. For a user, he/she can request multiple services simultaneously. this case, parallel processing system improve performance. When applying it is necessary implement mechanism allocate resource and schedule tasks execution order. Furthermore, allocation with preemptable task increase utilization clouds. paper, we propose an adaptive algorithm for tasks. Our algorithms adjust adaptively based on...

In existing WiFi-based localization methods, smart mobile devices consume quite a lot of power as WiFi interfaces need to be used for frequent AP scanning during the process. this work, we design an energy-efficient indoor system called ZigBee assisted (ZIL) based on fingerprints via interference signatures. ZIL uses collect mixed signals, which include non-periodic data and periodic beacon signals. However, APs cannot identified from these signals by directly. To address issue, propose...

Numerous research efforts have been conducted to simulate the crowd movements, while relatively few of them are specifically focused on multihazard situations. In this paper, we propose a novel simulation method by modeling generation and contagion panic emotion under circumstances. order depict effect from hazards other agents movement, first classify into different types (transient persistent, concurrent nonconcurrent, static dynamic) based their inherent characteristics. Second, introduce...

Providing reliable and efficient communication under fading channels is one of the major technical challenges in wireless sensor networks (WSNs), especially industrial WSNs (IWSNs) with dynamic harsh environments. In this work, we present Reliable Reactive Routing Enhancement (R3E) to increase resilience link dynamics for WSNs/IWSNs. R3E designed enhance existing reactive routing protocols provide energy-efficient packet delivery against unreliable links by utilizing local path diversity....

The gradually widening speed disparity between CPU and memory has become an overwhelming bottleneck for the development of chip multiprocessor systems. In addition, increasing penalties caused by frequent on-chip accesses have raised critical challenges in delivering high access performance with tight power latency budgets. To overcome daunting wall energy issues, this paper focuses on proposing a new heterogeneous scratchpad architecture, which is configured from SRAM, MRAM, Z-RAM. Based we...

Wireless sensor networks (WSNs) are integrated as a pillar of collaborative Internet Things (IoT) technologies for the creation pervasive smart environments. Generally, IoT end nodes (or WSN sensors) can be mobile or static. In this kind hybrid WSNs, sinks move to predetermined sink locations gather data sensed by static sensors. Scheduling energy-efficiently while prolonging network lifetime is challenge. To remedy issue, we propose three-phase energy-balanced heuristic. Specifically,...