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In this paper, we propose a framework which provides the temporal and spatial context for daily routine inferring in an ambient-assisted-living environment equipped with several sets of passive infrared (PIR) sensors. The inferred information could help identify the user's daily pattern and abnormalities from long-term monitoring. We implemented the prototype of the system from the electric parts...
Wireless Sensor Networks (WSNs) is one of the front and research hotspot in the world, and it has been used more and more widely. But in the ground location, NLOS error which reduces the localization accuracy seriously has not been well-resolved. For this, a method based on K-means clustering algorithm and improved SA algorithm is proposed in this paper. The position function of unknown node based...
In recent years, the wireless sensor network (WSN) has become more and more popular, and the problem of WSN localization has attracted great attention. In non-line of sight (NLOS) propagation conditions, the localization is less accurate than in line of sight (LOS) propagation conditions because of the buildings between the mobile station and the base station obstruct the spread of waves. In order...
Smartphones now become an indispensable part of our daily life. However, maintaining a smartphone's continuing operation consumes lots of battery energy. For example, a fully-charged smartphone usually cannot support its continuing operation for a whole day. A fundamental issue on a smartphone is its energy issue. That is, how to prolong the lifetime of a smartphone so that it can run as long as possible...
The skyline query method in the wireless sensor network has been widely used in the field of environmental monitoring, the field is mostly related to the spatial distance. For the multidimension of space location, it brings enormous computational cost for the general skyline query method in terms of the property calculation. In order to improve the efficient use of sensor energy, the paper proposes...
Vehicle type recognition is a demanding application of wireless sensor networks (WSN). In context of applying the sound recognition technology on the vehicle type recognition, in this study, a new feature extraction method is proposed based on the improved time encoded signal processing (ITESP) algorithm. The conventional TESP algorithm, which is effective for the speech signal feature extraction,...
Recently, mobility-enabled wireless sensor networks have been exploited to improve energy efficiency at the cost of increased latency. In this paper, we propose a Grid-based solution for Real-time Data Gathering application with mobile sinks (GRDG). Like many hierarchical structures, the flexible virtual grid partition scheme based on power control is designed to enhance network scalability, reduce...
This paper solves the problem of localization of mobile node in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments. To improve the localization accuracy, a parallel Kalman filtering algorithm is proposed to locate the robot mobile node. This algorithm consists of two steps: We firstly calculate the LOS/NLOS mode probabilities, then the proposed algorithm combines the estimation results...
Based on the analysis of the reliability and energy-consumption in WSNs, In this paper, we propose a cross layer-based MAC protocol abbreviated as CoDyMAC(Cross-layer and Dynamic balance energy-consumption MAC). CoDyMAC realizes multi-hop data transmission in a listen / sleep cycle by utilizing the interactions among MAC, Routing and Physical layers, and meanwhile introduces the selection mechanism...
In this paper, we introduce a very simple deterministic measurement matrix design algorithm(SDMMDA), based on which the data gathering and reconstruction in wireless sensor networks(WSNs) are greatly enhanced. Although SDM-MDA is very simple, but the measurement and reconstruction performance is more efficient than the random matrix and the matrix designed by schnass. The basic principle of the proposed...
This paper examines the implementation considerations of visual pattern image coding (VPIC) algorithm for image compression on the focal plane. Several basic visual patterns that exploit the psychovisual redundancy are adopted in the VPIC coding. These patterns are essentially the same edge patterns developed in classified vector quantization (CVQ). The isometry operation is introduced to help eliminate...
Clustering algorithm is one of the hotspots for studying routing protocol in wireless sensor networks, which can help to enlarge the network topology and utilize the capacity of channel efficiently. In this paper, we present a maximum degree and negotiation strategy based clustering algorithm to solve the cluster overlapping problem. It selects candidate according to maximum degree and determines...
Wireless Sensor Network (WSN) technology is employed in monitoring system to prevent the spontaneous combustion of coal gangue. A temperature monitoring system was designed, which monitor environment of gangue and prevent the occurrence of spontaneous combustion networking strategy through the collection of temperature in real-time or fix time. According to the energy-constrained problem of WSN, pseudo-parallel...
This paper examines the implementation considerations of Compressive Sampling (CS) in Field Programmable Gate Array (FPGA) and proposes computation-free linear projection implementation for CS encoding in imaging applications. A simplified sensing matrix is implemented to eliminate the multiplication and summation processes in the sensing stage. This sensing paradigm does not require all pixels in...
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