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Recent development of sensor technology gives us the opportunity to effectively monitor daily activities of individuals. As such, in this paper we present a distributed technique to recognize activities of daily living (ADLs) using simple sensors. We consider a number of randomly deployed sensors in home environment augmented with home appliances (e.g., cabinet, desk, chair etc.). Our proposal consists...
Power management for WSNs can take many forms, from adaptively tuning the power consumption of some of the components of a node to hibernating it completely. In the later case, the competence of the WSN must not be compromised. In general, the competence of a WSN is its ability to perform its function in an accurate and timely fashion. These two, related, Quality of Service (QoS) metrics are primarily...
This paper considers problem of target tracking in wireless sensor networks. In particular we aim to integrate the concept of tracking algorithm with heuristic approach to reduce energy consumption as well as gain efficient accuracy. Based on the fact that the movements of the tracked objects are sometimes predictable. In this work we intend to predict the next position of intruding object utilizing...
Wireless Sensor Networks (WSNs) are a new technology that is expected to be used in the near future due to its cheap cost and data processing ability. However, securing WSNs with traditional cryptographic mechanism is insufficient because of the existing limited resources and the lack of tamper resistant hardware. In this paper, we propose a Reputation-based Secure Data Aggregation for WSNs (RSDA)...
Wireless Sensor Networks (WSN) are used in many applications such as environmental data collection, smart home, smart care and intelligent transportation system. Sensor nodes composing the WSN cooperate together in order to monitor physical entities such as temperature, humidity, sound, atmospheric pressure, motion or pollutants at different locations. To have location information, it is possible...
Local positioning systems significantly enhance the value of wireless sensor networks (WSN). This paper gives an overview of local positioning system topologies for WSNs of the European project RESOLUTION, which operate in the unlicensed ISM band at 5.8 GHz with 150 MHz bandwidth and allowed 25 mW effective isotropic radiated transmit power. The achievable 3D-localization accuracy is analyzed with...
Providing energy-efficient continuous data collection services is of paramount importance to Wireless Sensor Network (WSN) applications. This paper proposes a new power management framework called Data-Driven Power Management (DDPM) as the infrastructure for integrating various energy efficient techniques, such as the approximate querying and the sleep scheduling. By utilizing the beneficial properties...
Time synchronization may play a key role in wireless sensor networks to meet real-time and energy-saving requirements and improve data-fusion and multiplexing efficiency. In this paper, we introduce a clock synchronization algorithm between the base station and sensor node used in wireless check meter system. The algorithm can not only been extended more conveniently, but also less affected by environment...
Localization is one of the key technologies in wireless sensor networks, and accuracy is a significant criterion to evaluate the practical utility of localization algorithm. Synthetically considering cost and energy consumption, it can only be deployed in detection area with a small number of reference nodes. In this paper, a novel localization algorithm based on Received Signal Strength Ratio (RSSR)...
The proliferation of Wireless Sensor Network has fostered growing interest in self-localization branch. This paper present a novel localization algorithm based on received signal strength indicator to solve the limitation of reconstructing the signal strength data set when environment change. The received signals strength ratio of both anchors and virtual references nodes to determine the position...
Wireless sensor networks (WSNs) possess inherent tradeoffs among conflicting operational objectives such as data yield, data fidelity and power consumption. In order to address this challenge, this paper proposes a biologically-inspired framework to build cognitive WSN applications, which introspectively understand their conflicting objectives, find optimal tradeoffs with given constraints and autonomously...
In this paper, a hierarchical indoor localization scheme is proposed to enable the use of autonomously powered ultra-low-power tags attached to the objects with unknown position. Using the UWB characteristics and the 3-tier organization (consisting of a large number of cost-effective tags, a small number of cheap and low-power hubs and a few synchronized base stations), the proposed localization scheme...
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