SOA distributed operating system for managing embedded devices in home and building automation

The explosive growth of Internet-connected consumer devices in the digital home has made home networks one of the important emerging topics in networking research. A rich body of research efforts have been made to study broadband performance and home network management, little is known about network traffic that are exchanged within home networks or between Internet-connected devices in home networks and end hosts on the Internet. In this paper we design and implement a built-in traffic monitoring system on programmable home routers to collect and analyze incoming, outgoing and internal traffic for residential home networks. To illustrate the applications of the proposed built-in traffic monitoring system, we deploy the system in two real home networks, and demonstrate its capabilities of detecting unwanted traffic towards home networks as well as those suspicious traffic originating from compromised devices in home networks. In addition, our correlation analysis on unwanted traffic towards distributed home networks reveals aggressive scanners on the Internet and sheds lights on traffic characteristics of these scanners.

The constant evolution of technology in terms of inexpensive and embedded wireless interfaces and powerful chipsets has led to the massive usage and deployment of wireless sensors networks (WSNs). These networks are made of a growing number of small sensing devices and are used in multiple use cases, such as home automation (e.g., smart buildings), energy management and smart grids, crisis management and security, e-Health, entertainment, and so forth. Sensor devices, generally self-organized in clusters and domain dedicated, are provided by an increasing number of manufacturers, which leads to interoperability problems (e.g., heterogeneous interfaces and/or grounding, heterogeneous descriptions, profiles, models, and so forth). Furthermore, the data provided by these WSNs are very heterogeneous because they are coming from sensing nodes with various abilities (e.g., different sensing ranges, formats, coding schemes, and so forth). In this paper, we propose a solution for handling WSNs’ heterogeneity, as well as easing interoperability management. The solution consists of a semantic open data model for sensor and sensor data generic description. This data model, designed for handling any kind of sensors/actuators and measured data (which is still not the case of existing WSNs data models), is fully detailed and formalized in an original ontology format called MyOntoSens and written using Ontology Web Language 2 description logic language. The proposed ontology has been implemented using Protege 4.3, prevalidated with pellet reasoner, and is being standardized (A Body Area Network (BAN) dedicated instance of the proposed “MyOntoSens” ontology is being standardized as a Technical Specification (TS) within the SmartBAN Technical Committee of the ETSI (European Telecommunications Standards Institute) standardization body: ETSI SmartBAN Technical Committee website: portal.etsi.org/portal/server.pt/community/SmartBAN/368v). In addition, this original ontology has been prequalified through a runner’s exercise monitoring application, using in particular SPARQL query language, within a small wireless body area network platform comprising heartbeat, GPS sensors, and Android mobile phones.

Journal Article Home Network Device Authentication: Device Authentication Framework and Device Certificate Profile Get access Yun-Kyung Lee, Yun-Kyung Lee * 1Information Security Division, Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, Daejeon, Republic of Korea *Corresponding author: neohappy@etri.re.kr Search for other works by this author on: Oxford Academic Google Scholar Deok Gyu Lee, Deok Gyu Lee 1Information Security Division, Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, Daejeon, Republic of Korea Search for other works by this author on: Oxford Academic Google Scholar Jong-Wook Han, Jong-Wook Han 1Information Security Division, Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, Daejeon, Republic of Korea Search for other works by this author on: Oxford Academic Google Scholar Tai-Hoon Kim Tai-Hoon Kim 2Hannam University, Daejeon, Republic of Korea Search for other works by this author on: Oxford Academic Google Scholar The Computer Journal, Volume 52, Issue 8, November 2009, Pages 871–877, https://doi.org/10.1093/comjnl/bxn038 Published: 24 July 2008 Article history Received: 31 January 2008 Revision received: 06 June 2008 Published: 24 July 2008

Wireless Sensor Networks is a promising prototype of networking and computing, where a node may be self powered and individual node have the capability to sense and compute and communicate. Wireless Sensor Networks have been proposed for variety of applications such as Industrial control and monitoring and Home automation and Consumer electronics and Security and Military sensing, Asset tracking and supply chain management, Intelligent Agriculture, Missile directing, Fire alarming, Landslide Warning, Environmental monitoring and health monitoring and commercial applications. In Wireless Sensor Network large number of nodes are deployed randomly. Depends on the network architecture the application may be personalized such as Energy Efficiency, Routing and Power Management and data dissemination. Energy efficiency is one critical issue for sensor networks because many sensors are equipped with batteries that have limited life time. In this paper, Energy efficient routing protocol for wireless sensor networks using spatial correlation based medium access control protocol compared with IEEE 802.11 is proposed. A model for WSN is proposed using spatial correlation based collaborative medium access control (CC-MAC) with AODV and DSR. Simulation results have been obtained by using Ns2. From the results, the performance of AODV is better compared to the other protocol as DSR also AODV and DSR performance are compared using CCMAC and IEEE 802.11.

Home automation system has achieved an enormous reputation in recent years, as day-to-day life is getting simpler due to the speedy growth of modern technology. Various implemented systems have been offered in the sphere of Home Automation but have apparently failed to provide cost-effective solutions for the same. In this paper, we provide a low-cost smart Home Automation and Security System (HASS) using Wireless Fidelity (Wi-Fi), and Bluetooth. These materialize the concept of internetworking of smart devices. A Wireless Sensor Network (WSN) based on Wi-Fi is considered to monitor and control the smart environment, safety as well as electrical parameters of a smart interconnected home. The Android application-based Graphical User Interface (GUI) on a Smartphone is used to give facility to users for seamless control over the devices in a smart home. It may also consist of home security for example access control and alarm systems. When connected to the Internet, home devices are an important element of the Internet of Things (IoT). Home security includes both the security hardware placed on a property and individuals' personal security practices. Security devices consist of a door locking, alert alarm, lighting, motion detectors, and security camera system. Additionally, several special features include such as ensuring windows are closed, each door is locked, all alarms are activated, and extra keys are not secret outside.

In this paper, the situation of an emerging home network environment is examined. There are four driving needs for a home network. They are home automation, home computer, digital audio and video distribution, and digital access network. In the past, the home network is driven by home automation and analog audio and video distribution systems. Most recently, the effort on the development of a digital home network has been driven by emerging digital access and digital consumer electronics technologies. The system requirements are analyzed for different home network applications. The possibility of using IEEE 1394 protocol for a digital home network is explored.

Sensors and sensor networks have an important impact in meeting environmental challenges. Sensor applications in multiple fields such as smart power grids, smart buildings and smart industrial process control significantly contribute to more efficient use of resources and thus a reduction of greenhouse gas emissions and other sources of pollution. Nowadays, the most topical researches pertaining to wireless sensor networks are grounded on the new optimization of structure of network transmission protocol, the routing optimization in transmission network, optimization of network structure, as a result of which the life circle of wireless network sensors is possible to increase. This article describes the experimental approbation of the mobility of the coordinator node in a wireless sensor network which provides the wireless sensor network node grouping, the transmission protocol optimization and the adjustment to the current environment, resulting in a reduction of the power consumption in the network nodes and define the basic rules that affect the overall life expectancy of a wireless sensor network.

Using the available but limited resources of sensors more efficiently has been the recent interest in designing the routing protocols for Wireless Sensor Network (WSN). The major concern includes energy, storage and computing resources. Accordingly, we propose an adaptive energy-aware Multi-path routing protocol with load balance (AEMRP-LB). It introduces a concept named direction-angle to overcome the deficiency of broadcast and takes into account the tradeoff between the residual energy and hop count to establish multiple node-disjoint paths. The traffic load is balanced over the selected paths by using a weighted traffic scheduling algorithm considering their transmitting capacity, and then AEMRP-LB uses the advantages of Multi-path Source Routing to report the acquired data as saving the computing and storage resources of the sensors. In the scene with multiple Source-Sink pairs, AEMRP-LB can adaptively adjust the available residual energy of shared nodes so as to make reasonable use of them. The simulation results show that AEMRP-LB outperforms the two comparative schemes, and the sensors consume the energy in a more equitable way which ensures a more graceful degradation of service with time.

Wireless sensor networks (WSN) have recently been proposed for a large range of applications in home and industrial automation, and for health and environment monitoring. Especially the ZigBee standard is getting rising attention as it can be used to implement wireless sensor networks, because of its low data rate and low power consumption. Increasingly there is a need to access wireless sensor network services from other IP- based networks. The DPWS has been chosen to implement the integration of the different forms of networking services. DPWS uses web services, XML, WSDL and SOAP protocol to connect various devices and services in home and industrial applications. It allows collaboration and dynamic reconfiguration of network services and devices. This paper will describe our idea of how DPWS can be used to integrate a wireless sensor network into other IP-based networks.

The benefits of utilizing service oriented architectures (SOA) in industrial automation are well recognized. Nevertheless these architectures imply connection establishments and message exchanges with a large amount of overhead which is inappropriate when considering the real time characteristics of an industrial application. Furthermore, wireless sensor networks (WSNs) which are often part of such applications cannot handle the need for continuously parsing and storing of SOA messages whose data volume is high. In this paper an innovative system approach is proposed capable of retaining all the interoperability issues that SOA provides. In this system a new bridge is used for mapping WSNs to IP systems and a novel compression technique is applied that reduces the size of the exchanged messages but nonetheless not prohibiting the usage of SOA standards. Finally a SOA-based technology is proposed which is embedded on wireless sensors motes and enables them to communicate with other devices regardless their implementation platform. Simulation results have shown that the proposed system can operate with real time responses when the number of sensors does not exceed a specific limit and the required sampling period is within particular time intervals in contrast with a classical SOA-based system.

This paper proposes a novel object-based home network middleware for the interoperability among home devices and smart grid devices. This middleware can be adopted by home devices for energy efficient homes.

Home automation systems can help to reduce energy costs and increase comfort of living by adjusting room temperatures according to schedules, rules, and sensor input. OpenHAB 2 is an open-source home automation framework supporting various home automation technologies and devices. While OpenHAB is well suited for single occupancy homes, large public buildings pose additional challenges. The limited range of wireless home automation technologies requires transceivers distributed across the building. Additionally, control permissions need to be restricted to authorized persons. This work presents OpenHAB-DM, a distributed OpenHAB 2 setup with extensions introducing user authentication, access control, and management tools for decentralized OpenHAB node deployment.

Wireless sensor networks (WSNs) when combined with Internet-of-things (IoT) enable a wide range of applications across multiple domains. Sensor nodes in these wireless sensor networks like any other Internet-connected device are resource constrained and vulnerable to a variety of malicious attacks thereby compromising security. Consequently, a secure and efficient lightweight cryptographic protocol is required that can provide a balance between end-to-end security offering all features but yet lightweight. For secure data transmission and access, newer multi-factor authentication and key management features must be developed as majority of existing techniques have high computational overheads and are vulnerable to a wide range of attacks. In this paper, we propose a Rabin-assisted three-factor authentication protocol that uses the computational asymmetry of Rabin cryptosystem in addition to user password, smartcard and biometric for increased security. NS2 based simulation proves that the proposed protocol outperforms the baseline ad-hoc on-demand distance vector (AODV) protocol in terms of throughput, computation cost, and delay performance. Also, it has the ability to tolerate most common attacks and offers additional functionality features thereby offering a lightweight and highly secure protocol that can be extended to other critical domains like Smart Transportation Systems (STS), Smart grids, Smart buildings etc.

Wireless sensor networks consist of small nodes with sensing, computation and wireless communication capabilities. Various architectures and node deployment strategies have been developed for wireless sensor network, depending upon the requirement of application. Sensor networks are used in different applications e.g. environmental monitoring, habitat monitoring, home automation, military application etc. In this paper we present survey of state-of-the-art of architecture and node deployment in wireless sensor network. We present the characteristics of the environment in which the sensor networks may deploy. Node deployment in wireless sensor network is application dependent and can be either deterministic or randomized. But in both the cases coverage of interested area is the main issue. We also explain the routing protocols for wireless sensor network.

Wireless Sensor Networks (WSNs) have been widely recognized as a promising solution for enhancing various aspects of electric power grid and realizing the vision of smart grid. However, energy crisis and challenging wireless environment in smart grid create a number of challenges for WSNs, as a result of which energy efficiency become critically important. On the other hand, cognitive radio (CR) technology is expected to play a vital role in smart grid networks. Cognitive Sensor Networks (CSNs) can effectively address some unique challenges of WSNs in smart grid. In this paper, we aim to design an energy efficient Medium Access Control (MAC) protocol for CSNs. In this regard, we propose ECR-MAC, which is an energy-efficient receiver-based MAC protocol for CSNs. ECR-MAC uses a energy-efficiency based auction mechanism and preamble sampling techniques for providing high energy efficiency and reliability. In addition, ECR-MAC explicitly accounts for the peculiarities of a CR environment. Analytical and simulation results demonstrate the effectiveness of ECR-MAC as a viable solution for CSNs.