Efficient defense against security attacks is a challenging task in the wireless sensor network environment. Although significant research effort has been spend on the design of trust models to detect malicious nodes based on direct and indirect evidence, this comes at the cost of additional energy consumption. The situation is further aggravated as the next generation wireless sensor network will be larger and larger. To face this problem, we propose a secure routing protocol (Ambient Trust Sensor Routing, ATSR) which adopts the geographical routing principle to cope with the network dimensions and relies on a distributed trust model for the detection of malicious nodes. Both direct and indirect trust information is taken into account to evaluate the trustworthiness of each neighbour. An important feature of the proposed routing solution is that it takes into account the remaining energy of each neighbour, thus allowing for better load balancing and network lifetime extension. Based on computer simulation results we evaluate the additional energy consumption caused by the exchange of indirect trust information and the benefits stemming from the adoption of our algorithm.

An energy and trust-aware routing protocol for large wireless sensor networks

Wireless Sensor Networks (WSN) are vulnerable to a wide set of attacks which threaten the network operation. Although communication and security technologies for computer networks have reached a mature stage, their applicability in WSNs is disputable due to their infrastructure-less operation and the limited node and network resources. Focusing on the routing procedure, this relies in the cooperation among neighboring nodes and a long list of attacks that can cause serious damage have already been identified. The situation is futher aggravated as the next generation wireless sensor network will be larger and larger. To face this problem, we propose a secure routing protocol (Ambient Trust Sensor Routing, ATSR) which adopts the geographical routing principle to cope with the network dimensions and part of the routing attacks, while it relies on a distributed trust model for the detection of another part of the routing attacks. Both direct and indirect trust information is taken into account to evaluate the trustworthiness of each neighbour. An important feature of the proposed routing solution is that it takes into account the remaining energy of each neighbour, thus allowing for better load balancing and network lifetime extension. Based on computer simulation results we evaluate the additional energy consumption caused by the exchange of indirect trust information and the benefits stemming from the adoption of our algorithm.

Energy-aware secure routing for large wireless sensor networks

A system for deploying an application comprising a resource bundle configured to provide resource data for the application. A workflow bundle configured to provide workflow data for the application. A workload model bundle configured to provide workload model data for the application. A resource model bundle configured to provide resource model data for the application and a bundle listener configured to listen for the resource data, the workflow data, the workload model data and the resource model data for the application and to instantiate a model service.

Declarative and pluggable business logic for systems management

Ubiquitous sensor networks (USNs) implemented by wireless sensor networks (WSNs) play a critical role for the next generation ubiquitous networks. Nowadays, the evolving “Internet of Thing”, which has been deemed as a mainstream of future Internet, raises even more the already high hopes of WSN and has attracted the interest of the research community worldwide. Since the sensor nodes are often equipped with the battery that usually cannot be replaced or recharged, the way to extend their lifetime becomes a critical issue. Because radio communication is the main cause of power consumption for sensor nodes, several approaches have been proposed to save power by compressing the volume of sensing data during communication. In this paper, we propose an efficient compression mechanism for WSN by treating sensing data as the raw data of an image for compression. We also introduce the user-acceptable data error which can be defined by a user to enhance the compression efficiency. Experimental results show that our mechanism can reach a better compression ratio compared with other approaches in either higher or lower correlated data scenario. More power can be saved during the radio communication due to lower volume of data. Furthermore, since our mechanism only involves addition and subtraction operations, the extra calculating burden resulted from compression can be minimized and thus, the extra power used to such calculation is negligible compared with the power used for transmitting a single bit data.

Data Compression for Energy Efficient Communication on Ubiquitous Sensor Networks

As the large-scale integration of photovoltaic (PV) power station, a higher requirement is put forward by power grid analysis on the accuracy of PV station model. For the model of photovoltaic system is complex, and it requires solving large-scale model equation, which is not conductive for simulation and big data analysis when a large-scale PV power station connected to grid. This paper focuses on the same type of photovoltaic power generation, assuming that the photovoltaic power plant is composed of multiple photovoltaic power generation units connected by the collector line, the photovoltaic power plant can be modeled to consider the operation of similar power generation unit grouped together, so that reduce the simulation scale. This paper points out that the dynamic clustering equivalence strategy can be classified into two cases. During the fault and fault-over, the transient condition is required to be grouped when the active power ramp recovery control module is operating, and the another single-unit equivalent model can be performed when the module is ignoring or not running into a non-fault condition, which is the second condition. Simulation results show that the proposed method has good adaptability for irradiance disturbance, different fault time.

Equivalent modeling and simulation for PV system on dynamic clustering equivalent strategy

Wireless Sensor Networks (WSN) are quickly gaining popularity due to the fact that they are potentially low-cost solutions, which can be used in a variety of application areas. However, they are also highly susceptible to attacks, due to both the open and distributed nature of the network and the limited resources of the nodes. In this paper, we propose a modular, scalable, secure and trusted networking protocol stack, able to offer self-configuration and secure roaming of data and services over multiple administrative domains and across insecure infrastructures of heterogeneous WSNs. The focus is on trusted route selection, secure service discovery, and intrusion detection, while critical parts of the security functionality may be implemented in low-cost reconfigurable hardware modules, as a defense measurement against side channel attacks. Keywords—security, wireless sensor networks, trust model, service discovery

Securing wireless sensor networks towards a trusted "Internet of Things".

When a transmitter sends information signals time multiplexed in a single channel over a coaxial cable to a receiver, the expense necessary for synchronizing the demultiplexing operations to the multiplexing operations at the transmitter and for supplying the current necessary to energize the receiver is reduced by impressing or interposing pulses on or into the multiplex signal at the transmitter for synchronization and current supply at the receiver. 12 V pulses are transmitted at low impedance either as frame pulses at the beginning or at the end of a signal pulse frame of the multiplex signal or supplementarily as clock pulses between successive signal samples in the multiplex signal.

A COMPONENT-BASED SOFTWARE ARCHITECTURE - Reconfigurable Software for Ambient Intelligent Networked Services Environments

This paper investigates energy efficiency issues in modern lifts, based on the VDI 4707 guidelines, in the context of “KLEEMANN-LESS” research project, funded by national resources and the EU. The above analysis is applied to various lift types manufactured by the Greek multinational company ΚLEEMAN HELLAS. The obtained results indicate the relationship between critical technical parameters, such as the elevator driving system type and the standby energy consumption, according to the aforementioned standard. Furthermore, in the current work, new techniques for energy savings are proposed, employing realistic scenarios, which significantly enhance energy efficiency. Experimental work shows that an energy saving of up to 40% can be achieved. The outputs of the current work are not limited to lift models manufactured by KLEEMAN HELLAS, but concern the majority of lift manufacturers as well.

On the investigation of energy saving aspects of commercial lifts

This paper describes a component-based software architecture and design methodology, which will enable efficient engineering, deployment, and run-time management of reconfigurable ambient intelligent services. A specific application of a media player is taken as an example to show the development of software bundles according to the proposed methodology. Furthermore, a software tool has been developed to facilitate composition and graphical representation of component based services. The tool will provide a model of a generic reusable component, and the user of the tool will be able to instantiate reusable components using this model implementation. The work has been carried out within the European project COMANCHE that will utilize component models to support Software Configuration Management.

Design Methodology for a Modular Component Based Software Architecture

This paper discusses the optimal combination of the thermoelectric generation concept in building applied PV panels, in order to recover additional electric energy amounts by the waste heat. Moreover, since this concept refers to building applications, the combination of geothermal energy will be also investigated. An insightful study of all its techno-economic aspects will be addressed in the present work and a case study will be presented - based on real annual PV generation and environmental data.

M. Loupis

Papers

Securing wireless sensor networks towards a trusted "Internet of Things".

A COMPONENT-BASED SOFTWARE ARCHITECTURE - Reconfigurable Software for Ambient Intelligent Networked Services Environments

On the investigation of energy saving aspects of commercial lifts

Design Methodology for a Modular Component Based Software Architecture

Combination of Building Applied PV Panels with Thermoelectric Generation and Geothermal Cooling