International Conference on Embedded Software and Systems 

About: International Conference on Embedded Software and Systems is an academic conference. The conference publishes majorly in the area(s): Wireless sensor network & Embedded software. Over the lifetime, 675 publications have been published by the conference receiving 4370 citations.

The Web of Things: Interconnecting Devices with High Usability and Performance

Abstract: In this paper, we show that Web protocols and technologies are good candidates to design the Internet of Things. This approach allows anyone to access embedded devices through a Web application, via a standard Web browser. This Web of Things requires to embed Web servers in hardware-constrained devices. We first analyze the traffics embedded Web servers have to handle. Starting from this analysis, we propose a new way to design embedded Web servers, using a dedicated TCP/IP stack and numerous cross-layer off-line pre-calculation (where information are shared between IP, TCP, HTTP and the Web application). We finally present a prototype -- named Smews -- as a proof of concept of our proposals. It has been embedded in tiny devices (smart cards, sensors and other embedded devices), with a requirement of only 200~bytes of RAM and 7~kilo-bytes of code. We show that it is significantly faster than other state of the art solutions. We made Smews source code publically available under an open-source license.

Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision Kernels

Abstract: Developing high performance embedded vision applications requires balancing run-time performance with energy constraints. Given the mix of hardware accelerators that exist for embedded computer vision (e.g. multi-core CPUs, GPUs, and FPGAs), and their associated vendor optimized vision libraries, it becomes a challenge for developers to navigate this fragmented solution space. To aid with determining which embedded platform is most suitable for their application, we conduct a comprehensive benchmark of the run-time performance and energy efficiency of a wide range of vision kernels. We discuss rationales for why a given underlying hardware architecture innately performs well or poorly based on the characteristics of a range of vision kernel categories. Specifically, our study is performed for three commonly used HW accelerators for embedded vision applications: ARM57 CPU, Jetson TX2 GPU and ZCU102 FPGA, using their vendor optimized vision libraries: OpenCV, VisionWorks and xfOpenCV. Our results show that the GPU achieves an energy/frame reduction ratio of 1.1–3.2× compared to the others for simple kernels. While for more complicated kernels and complete vision pipelines, the FPGA outperforms the others with energy/frame reduction ratios of 1.2–22.3×. It is also observed that the FPGA performs increasingly better as a vision application's pipeline complexity grows.

Network QoS Management in Cyber-Physical Systems

Abstract: Technical advances in ubiquitous sensing, embedded computing, and wireless communication are leading to a new generation of engineered systems called cyber-physical systems (CPS). CPS promises to transform the way we interact with the physical world just as the Internet transformed how we interact with one another. Before this vision becomes a reality, however, a large number of challenges have to be addressed. Network quality of service (QoS) management in this new realm is among those issues that deserve extensive research efforts. It is envisioned that wireless sensor/actuator networks (WSANs) will play an essential role in CPS. This paper examines the main characteristics of WSANs and the requirements of QoS provisioning in the context of cyber-physical computing. Several research topics and challenges are identified. As a sample solution, a feedback scheduling framework is proposed to tackle some of the identified challenges. A simple example is also presented that illustrates the effectiveness of the proposed solution.

An Entropy-based Trust Modeling and Evaluation for Wireless Sensor Networks

Abstract: Wireless sensor networks are hard to be stable and vulnerable to various attacks, so it's a need to find the mechanisms to evaluate trustworthiness with trusted computing theories. In this paper, a novel entropy-based trust modeling and evaluation methods for WSNs are carried out to give the stability and security descriptions. With the experiments, it is proved that they can be used to detect the malicious nodes, to estimate the effect and the performance of WSN.

Design and Realization of Modbus Protocol Based on Embedded Linux System

Abstract: With the rapid development of the embedded computer technology, the new generation of industrial automation data acquisition and monitoring system, which takes the high performance of embedded microprocessor as its core, adapts well to the application system. It meets the strict requests of the function, reliability, cost, size and power consumption, etc. In the industrial automation application system, the Modbus communication protocol is widespread industrial standard and is used in massive industrial equipments, including DCS, PLC, RTU and the intelligent instrument, etc. In order to reach the demand of the embedded data acquisition monitoring system of the industrial automation application, an embedded data acquisition monitoring platform based on Modbus protocol under the Linux environment is designed in this paper. The serial port Modbus master protocol is realized, which includes two kinds of communication mode: ASCII and RTU. As a result, communicating with various serial Modbus salve protocol equipments can be satisfied. The Modbus master realized by this embedded platform is stable and reliable. It has excellent prospect in the embedded data acquisition monitoring system of new automation applications.