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Efficient multihop data dissemination is a crucial building block to enable mature wireless sensor network (WSN) applications. Exploiting machine learning for these routing problems has received increasing attention in recent years due to its flexibility and localized mechanisms. However, with such an approach the resulting protocols often have additional memory and processing time requirements. Nevertheless,...
To accurately diagnose node fault in wireless sensor network (WSN) can improve long-distance service of nodes in WSN, assure reliability of information transfer and prolong lifetime of WSN. In this paper, a novel method of fault diagnosis for node of WSN was brought forward. First, attribute reduction for decision-making of fault diagnosis could be founded based discernibility matrix in rough set...
Currently there is no widely accepted formalized description or metadata that represents networks, their components and interrelations between them. There is also no de facto classification of network parameters, models and services. The network community lacks a metadata specification similar to WSDL that represents networks in clear and unified manner and includes software, hardware and networking...
We have developed a novel method to estimate missing observations in wireless sensor networks. We use a hierarchical unsupervised fuzzy ART neural network to represent the data cluster prototypes. We then estimate missing inputs by using a new spatial-temporal imputation technique. We have evaluated this approach through experiments on both real sensor data and artificially generated data. Our experimental...
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavior of a wireless sensor network in great detail. Due to the probabilistic behavior of these systems, however, the simulation covers only a small fraction of all possible behaviors.Formal model checking techniques, based on...
Wireless sensor network (WSN) is expected to have a significant impact on the efficiency of military and civil applications. Routing in WSNs is very challenging due to their inherent characteristics. Currently, many routing protocols have been proposed for WSNs, and energy efficiency is their primary objective. In the paper, a mobile agent diffusion routing algorithm (MADR) is proposed. It aims at...
Several simulation tools are used to evaluate network performance including OMNeT++. In this paper, a case of topology control (TC) in WSNs is simulated by considering its interaction with MAC layer and routing based on the SensorSimulator framework. Some ways to improve the simulation efficiency are described. Finally, the simulation results are given.
Wireless sensor networks are usually made up of a large number of sensor nodes. Such large networks require algorithms which can maintain their performance while the network size gets larger and larger. Clustering is a very efficient method which can help many algorithms become scalable to networks of large sizes. Recently, irregular cellular learning automata is proposed as a suitable modeling tool...
This paper presents a prototype wireless sensor network middleware REED (rule execution and event distribution). This middleware supports both the distribution of rules and the events that trigger them. REED employs a rule-based paradigm to allow sensor networks to be programmed at run time. This provides a flexible environment where applications and users can programme the sensor nodes to allow their...
The major functions of a wireless sensor network (WSN) cannot be accomplished without collaboration among wireless sensor nodes. However, most of the work found in literature only focuses a specific type of collaboration, associated with the accomplishment of a certain task, such as: signal processing, routing, etc. In this paper, we present a graph-based model of collaborative work created specifically...
The GTS real-time bandwidth allocation strategy of IEEE 802.15.4 is modified, where query information from application layer in wireless sensor networks is used. To improve the system adaptability to randomly changed situations, this paper proposes an adaptive real-time bandwidth allocation strategy, which is data-query demand awared. The strategy is based on an optimization framework of reinforcement...
This paper discusses an innovative extension of a platform that integrates external intelligent environments into state-of-the-art vehicles. The platform is dedicated to automotive environments for sensor networks focusing on distribution along a personal area vehicle network. Since the platform infrastructure is currently limited and forms a non scalable process unit, an embedded OSGi-based UPnP...
In this paper we discuss the design methodology based on the service-oriented architecture and agile development principles for wireless embedded and sensor networks (WSNs). This methodology suits particularly well for streamlining and partially automating the design and implementation of complex WSNs. We report results from selected case-studies to test applicability of service-oriented architectures...
The paper introduces a model of wireless sensor network (WSN) nodes with SystemC-AMS, a C++ based language for system-level description, then presents model refinements and simulation improvements of the system. Firstly the paper details the components of a WSN node : a sensor, an ADC, a microcontroller and a RF transceiver with some introduced impairements. Secondly, it presents the implementation...
A distributed algorithm for finding approximation minimum connected dominating sets to construct a virtual backbone in the growth-bounded graph for wireless sensor network is presented. This approach consists of three phases: firstly construct an MIS by network decomposition; secondly find a minimum dominating set and finally use Marking process and ruling K to optimize the virtual backbone. The algorithms...
Wireless sensor networks (WSNs) provide various environment data in the real-world, and also WSNss middleware is able to offer field data in real-time by user queries. For materialization of the future ubiquitous computing which enables networking with things at anytime, anywhere and any-devices, WSNs occupy the important position with RFID technologies, and it has evolved and advanced currently....
Ambient Intelligence is an emerging research field. The concept of AmI and its application scenarios are discussed firstly. Wireless Sensor Network is the premise and core technology of AmI. Bluetooth technology is used to implement Wireless Sensor Network in Ambient Intelligence. In this paper, topology architecture of Bluetooth identification sensor network is proposed. The software and hardware...
Traditional simulators cannot meet the requirement of modeling large scale networks due to their deficiency in scalability. In this paper, we present a new simulator, namely EasiSim, for sensor networks on a large scale. EasiSim is featured by a structure-based modeling method and a hierarchical organization of the relevant functional components, including nodes, topology and scenario. The nodes are...
Effectively managing concurrent execution is one of the biggest challenges for future wireless sensor/actor networks (WSANs): for safety reasons concurrency needs to be tamed to prevent unintentional nondeterministic executions, on the other hand, for real-time guarantees concurrency needs to be boosted to achieve timeliness. We propose a transactional, optimistic concurrency control framework for...
This paper presents the real-time implementation of a neural network-based fault detection for wireless sensor networks (WSNs). The method is implemented on TinyOS operating system. A collection tree network is formed and multi-hoping data is sent to the base station root. Nodes take environmental measurements every N seconds while neighboring nodes overhear the measurement as it is being forwarded...
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