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Performance analysis of smart cultural heritage protection oriented wireless networks
Wang, YuPeng,Dai, Xin,Jung, Jason J.,Choi, Chang North-Holland 2018 Future generations computer systems Vol.81 No.-
<P><B>Abstract</B></P> <P>Currently, Internet of Things (IoT) and wireless sensor network (WSN) techniques are widely used in the cultural heritage protection oriented networks for the environment monitoring, security enhancement issues, and <I>etc</I>. However, the low transmission rate and expandability of IoT and WSN limit the application variety of heritage protection networks. In this paper, we introduce the concept of device to device (D2D) communication manner from the 5G mobile network into the smart cultural heritage protection networks to solve the problems of various service requirement and coverage hole due to the location of the heritage. To enable the direct transmission among nodes, flooding based broadcast message transmission is widely utilized, which is used to obtain the prior knowledge that will be further used in the neighbor discovery, routing and other procedures. In this paper, we analyze the performance of flooding based broadcast message reception in D2D mode, where the influence of random time slot selection and message collision are reflected. Based on the random time slot selection manner and the related random process theory, we established the close form expression on the average number of received broadcast messages in the case of D2D without the coordination of central control node. Then, the proposed close form expression is validated through a numerical analysis platform. From the validation results, we find that the introduced closed form expression on the average number of received D2D broadcast packets is consistent with the simulation results.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We introduce D2D into Smart CH to enhance service provision variety. </LI> <LI> The procedure of flooding based message transmission in D2D of smart CH is analyzed. </LI> <LI> We propose a close-form analysis model for D2D in smart CH. </LI> </UL> </P>
Collaborative Innovation in Construction Project: A Social Network Perspective
Xiaolong Xue,Ruixue Zhang,Liang Wang,Hongqin Fan,Rebecca J. Yang,Jason Dai 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.2
Successful innovation requires effective cooperation and working relationships among different parties within construction projects. In order to promote construction innovation performance, it is important to shed light on the internal mechanism of innovation through investigating collaborative relationships from a network perspective. In this case, the formation of collaborative relationship can be viewed as a potential generator of innovation processes, and relationship network indicates information exchanges among organizations. This article investigates the collaborative relationship network in a commercial complex by using social network method and in-depth quantitative data analysis. Structural Equation Modeling (SEM) is usually used to analyze the impacts of collaborative relationship on innovation performance in construction projects. There are more and more stakeholders in construction projects, and organization relationship presents a significant network trend. Social network method is widely applied in innovative research. Combined with quantitative data, it is able to quantify and visual the interaction relations of innovation stakeholder. The analytical results will be more objective and reliable. Social network analysis can describe and analyzed collaborative relationship combining qualitative and quantitative method. The results illustrate the relatively dense collaborative relationship networks and highlight the roles that the key members played in the innovation process. The decomposition of collaborative relationship with network analysis contributes to a better understanding of innovation process in construction projects. In particular, key nodes which influence construction innovation through collaborative relationships are revealed and analyzed.