XAC Project

In pervasive computing environment (Satyanarayanan, 2001), common context management system, that make context of the real world be shared among the context-aware applications, is required to reduce development cost of each context-aware applications. A wireless sensor network (WSN) will be a key infrastructure for the context management system. Towards pervasive computing, a WSN integrated into context management system should be open infrastructure. In an open WSN should (1)handle various kinds of tasks, (2)manage tasks at runtime, (3)save resource consumption, and (4)adapt to changes of environments. To develop such an open WSN, middleware supports are needed, and our XAC project tries to develop a middleware for the open WSN. The XAC project is a research project to develop a middleware for open WSN. In this chapter, the auhors show research issues related to open WSN from the viewpoints of task description language, runtime task management, self-adaptability, and security.

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Research of Recognition Management System for Noise, Temperature and Humidity Based on ZigBee

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.753-755.2390 ◽

2013 ◽

Vol 753-755 ◽

pp. 2390-2395

Author(s):

Zheng Mao Li ◽

Jun Wang ◽

Di Zheng

Keyword(s):

Pervasive Computing ◽

Management System ◽

Humidity Sensor ◽

Noise Source ◽

Noise Temperature ◽

Wireless Sensor ◽

Context Aware ◽

Material Loss ◽

Zigbee Technology ◽

Temperature And Humidity

In order to reduce the acoustics material loss caused by the temperature and humidity varying of theatre environment as well as monitoring the noise changes, we have built a ZigBee technology based wireless sensor network. By using the temperature sensor, humidity sensor and the noise sensor we can get the environment information efficiently. Moreover, with the help of the context-aware concept in pervasive computing we build up the noise and temperature humidity cognitive management system. Experimental results show that, the system can effectively locate and recognize the noise source. At the same time it can complete effective early warning and propose according to different materials temperature and humidity characters so as to prolong the service life of the materials and improve their performance effectively.

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面向地质灾害监测预警应用的无线传感网网络管理系统The Wireless Sensor Network Management System for the Geological Disaster Monitoring and Warning Based on Nagios and Cacti Platform

Advances in Geosciences ◽

10.4236/ag.2012.24030 ◽

2012 ◽

Vol 02 (04) ◽

pp. 199-204

Author(s):

赵洪壮

Keyword(s):

Wireless Sensor Network ◽

Network Management ◽

Sensor Network ◽

Management System ◽

Wireless Sensor ◽

Network Management System ◽

Geological Disaster ◽

Disaster Monitoring

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Honey Bee Optimization based Sink Mobility Aware Heterogeneous Protocol for Wireless Sensor Network

Scalable Computing Practice and Experience ◽

10.12694/scpe.v20i4.1553 ◽

2019 ◽

Vol 20 (4) ◽

pp. 591-598 ◽

Cited By ~ 1

Author(s):

Ashish Kumar Luhach ◽

Aditya Khamparia ◽

Ravindra Sihag ◽

Raj Kumar

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Honey Bee ◽

Heterogeneous Network ◽

Cluster Head ◽

Wireless Sensor ◽

Research Issues ◽

Data Packets ◽

Industrial Monitoring ◽

The Stability

Wireless Sensor Network (WSN) has emerged as one of the most important technologies serving an array of solutions for critical applications such as defense, industrial monitoring and decision purposes. Data routing in WSN is effective or non-effective depending upon the energy saving for nodes while transferring data packets to the sink. Mainly WSN divided into two modes; heterogeneous and homogeneous. Heterogeneous network in WSN mainly focused on the cluster head selection. Sink mobility in the heterogeneous network has still many open research issues, it is observed that it makes the network more energy efficient. The optimization in the network leads to the stability of the network at a much higher level. In this paper, the sink mobility is optimized for WSN using Honey Bee Optimization (HBO) technique by considering the parameters such as energy and distance. The proposed protocol shows significant improvement in the stability period by 33 % by covering 2928 rounds and enhanced network lifetime by 1500 rounds in compared with 2033 and 14084 rounds for iMBEENISH protocol respectively.

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Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network

Wireless Communications and Mobile Computing ◽

10.1155/2021/2464505 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Chao Ma ◽

Weiqi Chen ◽

Yuge Tian

Keyword(s):

Wireless Sensor Network ◽

Simulation Model ◽

Sensor Network ◽

Early Warning ◽

Management System ◽

Wireless Sensor ◽

Entrepreneurial Performance ◽

Early Warning Management ◽

Net Assets ◽

People Today

Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.

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