No abstract

Building information modeling (BIM) is a revolutionary technology that provides all the necessary mechanisms to achieve end-to-end communication, data exchange and information sharing between project actors, leading to smarter outcomes for communities and more efficient projects for AEC service providers. 3D models generated in the context of engaging in the BIM process and as-delivered physical assets through building management systems (BMS) adopt Internet of Things (IoT) architectures and services. However, the orchestration of IoT devices in a highly modular environment with many moving parts and inter-dependencies between the stakeholders of this environment, lead to many security issues. This article focuses on applying novel technologies in the construction industry, such as BIM, IoT, and Blockchain, but also on examining their interconnection and interoperability on a proposed system architecture on a case of a building (museum), where efficient security, management and monitoring are considered crucial factors for the unobstructed operation of the organization that hosts.

Next generation wireless networks consist of many heterogeneous access technologies that should support various service types with different quality of service (QoS) constraints, as well as user, requirements and provider policies. Therefore, the need for network selection mechanisms that consider multiple factors must be addressed. In this paper, a network selection method is proposed by applying the analytic network process to estimate the weights of the selection criteria, as well as a fuzzy version of technique for order preference by similarity to ideal solution to perform the ranking of network alternatives. The method is applied to a heterogeneous network environment providing different QoS classes and policy characteristics. Each user applies the method to select the most appropriate network, which satisfies his or her requirements in respect of his or her service-level agreement (SLA). Performance evaluation shows that when the user requests only one service, the proposed method performs better compared to the original technique for order preference by similarity to ideal solution, as well as the Fuzzy AHP-ELECTRE method. Moreover, the proposed method can be applied in cases where a user requires multiple services simultaneously on a device. The sensitivity analysis of the proposed method shows that it can be properly adjusted to conform to network environment changes.of heterogeneous networks, seamless interworking among the different technologies is also needed [7]. Thus, special attention to the VHO process should be given [8].The VHO procedure consists of three main steps including the handover initiation, the network selection, and the handover execution. The initiation step contains the required procedures to identify the available access networks and select the time of handover in respect of network conditions and user mobility. The network selection step is related to the selection of the most appropriate network alternative based on the available network characteristics, user preferences, and applications requirements. Finally, the execution step completes the handover process by seamlessly connecting the terminal to the selected network. This paper deals with the network selection step of the VHO process.Existing handover network selection schemes employ multi attribute decision-making methods (MADM), fuzzy logic, neural networks, and utility functions [9]. However, because the selection of an access network depends on several parameters with different relative importance, the access network selection problem is usually looked at from the aspect of multi-criteria analysis and more specifically by applying different MADM algorithms. In this paper, a network selection method is proposed by employing two MADM algorithms: the analytic network process (ANP), which is an extension of the analytic hierarchy process (AHP) for criteria weights calculation, and a fuzzy version of the technique for order preference by similarity to ideal solution (TOPSIS) for accomplishing the ranking of the candidate net...

No abstract