Abstract
Internet of Things (IoT) is characterized by a system of interconnected devices capable of communicating with each other to carry out specific useful tasks. The connection between these devices is ensured by routers distributed in a network. Optimizing the placement of these routers in a distributed wireless sensor network (WSN) in a smart building is a tedious task. Computer-Aided Design (CAD) programs and software can simplify this task since they provide a robust and efficient tool. At the same time, experienced engineers from different backgrounds must play a prominent role in the abovementioned task. Therefore, specialized companies rely on both; a useful CAD tool along with the experience and the flair of a sound expert/engineer to optimally place routers in a WSN. This paper aims to develop a new approach based on the interaction between an efficient CAD tool and an experienced engineer for the optimal placement of routers in smart buildings for IoT applications. The approach follows a step-by-step procedure to weave an optimal network infrastructure, having both automatic and designer-intervention modes. Several case studies have been investigated, and the obtained results show that the developed approach produces a synthesized network with full coverage and a reduced number of routers.
Highlights
With the advent of low-power high-fidelity sensors capable of making precise measurements of the environmental parameters, the need to effectively link them in a network has arisen.Wireless communication networks have successfully replaced wired connections for efficient data transmission between sensor nodes, via radio communication
The developed approach has been tested on different floor plans using a variety of dimensions and sizes and different numbers of end devices (EDs)
The obtained networks have been compared with the synthesized networks using the Computer-Aided Design (CAD) tool developed in [29]
Summary
With the advent of low-power high-fidelity sensors capable of making precise measurements of the environmental parameters, the need to effectively link them in a network has arisen.Wireless communication networks have successfully replaced wired connections for efficient data transmission between sensor nodes, via radio communication. WSNs play a pivotal role in realizing the recent development of the Internet of Things (IoT), where the applications of such networks include security systems, environment monitoring, healthcare systems, and smart homes to name a few [2]. In one of the recent IoT applications, a WSN connects the legacy electrical equipment, incapable of communicating with standard protocols, with the smart grid controller [3]. The concept receives further attention from the research community when it is incorporated in an entire building to monitor and control appliances so that the building is automated. The purpose of this automation can be to make the building energy-efficient, or environmentally and inhabitant friendly. Energy efficiency is a focal point of research for large systems and for systems as small as the sensors themselves [4,5]
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