Papers by Keyword: Wireless Sensor Network (WSN)

Abstract: In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.

Abstract: A 2-covered path routing method providing each path with redundant antennas to provide high availability ensures reliable multi-hop communication under practical conditions. In real life, the transmission range of an antenna increases at a rate proportionate to its input power. This paper focuses on the 2-covered path problem in which antennas have discrete transmission power levels. Given a set of n antennas with m available radii, a source point A and a destination B on the plane, we propose three power-aware methods that construct the 2-covered paths between endpoints A and B. These methods are called 2-covered area stretching planning (TASP), and radii shrinking planning (RSP) to reduce power consumption. RSP and TASP are polynomial-time algorithms and save energy up to 96% of that achieved by optimum solutions.

Abstract: In this paper, we propose an improved routing algorithm to prolong network lifetime of wireless sensor networks (WSNs) by combining the shortest hop routing tree (SHORT) algorithm and the, turn off redundant node (TORN) MAC layer protocol to cross layer SHORTORN scheme. Moreover, to prolong the lifetime of the first node death (FND) in networks, the rate of energy consumption should be balanced for all nodes. Therefore, this paper further proposes a load balancing SHORTORN scheme by combining the weight and energy-aware, called energy-aware weight-based SHORTORN (EWSHORTORN). The proposed EWSHORTORN algorithm lets more nodes share the load of the leader and balances the opportunity of data relaying to all nodes. The proposed load balancing scheme allocates energy consumption load to be more uniformly among all nodes, thus the FNL can be prolonged evidently. Simulation results show that the proposed EWSHORTORN outperforms the SHORT scheme with double lifetime of FND.Keywords: wireless sensor networks, network lifetime, cross layer protocol, load balance.

Abstract: Pyroelectric infrared (PIR) sensors can detect the presence of human without the need to carry any device, which are widely used for human presence detection in home/office automation systems in order to improve energy efficiency. However, PIR detection is based on the movement of occupants. For occupancy detection, PIR sensors have inherent limitation when occupants remain relatively still. Multisensor fusion technology takes advantage of redundant, complementary, or more timely information from different modal sensors, which is considered an effective approach for solving the uncertainty and unreliability problems of sensing. In this paper, we proposed a simple multimodal sensor fusion algorithm, which is very suitable to be manipulated by the sensor nodes of wireless sensor networks. The inference algorithm was evaluated for the sensor detection accuracy and compared to the multisensor fusion using dynamic Bayesian networks. The experimental results showed that a detection accuracy of 97% in room occupancy can be achieved. The accuracy of occupancy detection is very close to that of the dynamic Bayesian networks.

Abstract: In the paper, design and Implementation of cloud-dust based intelligent system is proposed. For achieving applications of intelligent system, such as records, surveillance, assessments, predictions, diagnosis, prescription, scheduling and fool-proofing checks, an architecture named Cloud-Dust is developed. The intelligent system is separated into the cloud system and the dust system. The dust system contains (1) Wireless sensors network (2) Features extraction circuits (3) Intelligent computing circuits (4) Embedded system. It can play a role as real-time preprocessor very well, just like an intelligent agent. However, the cloud system contains (1) Cloud database (2) Intelligent computing engine (3) Ubiquitous human-machine-interface. It can flexibly use computing resources and integrate information from many different dust systems. By the experiments, we can find the advantages of the cloud-dust based intelligent system. It meets the both needs of real-time and integration for intelligent systems. So it is necessary to develop the cloud-dust based system for design and implementation of the intelligent system.

Abstract: Wireless sensor networks (WSNs) are a group of wireless sensor nodes, those sensor nodes with sensing and monitoring of environmental information. Energy consumption is an important topic; the node's power is limited. Therefore, we proposed an Opportunistic Large Array Concentric Geographic Routing Algorithm (OLACGRA) to reduce the node’s energy consumption and analysis the characteristic of energy model. The sink position of our proposed OLACGRA is at the center of concentric topology architecture. The source node wants to transmit data that it needs to calculate the distance between source node and sink node. If this distance bigger than threshold value, we use the multi-hop manner. Otherwise, source node transmits data to sink node directly. Simulation results show that our proposed algorithm can effectively reduce the node’s energy consumption.

Abstract: This paper introduces the wireless sensor network technology, explores a new method for explosion shock wave test, expounds the hardware and the key technology of wireless sensor network node. By out field test It shows that the node has the advantages of convenient installation, safe and reliable, high test precision, can implement the real-time acquisits transmiss and evaluats pressure signal. The design effectively solve the bottleneck of wave field test.

Abstract: The Internet of Things (IoT) technology has been extending its applications in the electric power system since the very beginning of the construction of the smart grid in China. Under such a background, this paper first discusses the technical principles and development goals of the IoT for the electric power system, which can also be called the “power grid IoT” in brief. And then, according to the technical principles mentioned above and the common guidance released by the power grid authorities, this paper presents an IoT technology based Supervisory Control And Data Acquisition (SCADA) system for substations. The key technologies, functions and applications of the system are described respectively. The design of an extremely long-life and stable wireless temperature sensor is presented in detail. The functions of the SCADA system include substation equipment status monitoring, 3D-visualization, environment monitoring, spare parts location, asset management and so on. The applications of such a system can be regarded as efficient methods for substation intelligent operation and maintenance.

Abstract: Firstly, the characteristics of regular Zigbee localization algorithms-the received signal strength indicator algorithm (RSSI) and the weighted centroid localization algorithm are introduced. Then, the factors of the errors existing in the aforementioned algorithms are analyzed. Based on these above, the improved RSSI algorithm-correction geometric measurement based on weighted is proposed. Finally, utilizing this algorithm to design and implement the localization nodes, which have the CC2431 wireless microcontroller on them. The simulation and experimental results show that the accuracy of this localization algorithm improved about 2%, comparing with the regular algorithms.

Abstract: It’s vital to protect cultural heritage Mogao Grottoes. This paper discussed the five layers structure of Mogao Grottoes risk management and decision support system, analyzed the application of some key technologies of IOT from four technical parts. This paper gave the future prospects of application of the technology of IOT on the world cultural heritage protection and it will provide a reference for the establishment of similar systems.