NDLI: Energy-Aware Wireless Sensor Networks for Smart Buildings: A Review

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Energy-Aware Wireless Sensor Networks for Smart Buildings: A Review

Content Provider	MDPI
Author	Naji, Najem Abid, Mohamed Riduan Krami, Nissrine Benhaddou, Driss
Copyright Year	2021
Description	The design of Wireless Sensor Networks (WSN) requires the fulfillment of several design requirements. The most important one is optimizing the battery’s lifetime, which is tightly coupled to the sensor lifetime. End-users usually avoid replacing sensors’ batteries, especially in massive deployment scenarios like smart agriculture and smart buildings. To optimize battery lifetime, wireless sensor designers need to delineate and optimize active components at different levels of the sensor’s layered architecture, mainly, (1) the number of data sets being generated and processed at the application layer, (2) the size and the architecture of the operating systems (OS), (3) the networking layers’ protocols, and (4) the architecture of electronic components and duty cycling techniques. This paper reviews the different relevant technologies and investigates how they optimize energy consumption at each layer of the sensor’s architecture, e.g., hardware, operating system, application, and networking layer. This paper aims to make the researcher aware of the various optimization opportunities when designing WSN nodes. To our knowledge, there is no other work in the literature that reviews energy optimization of WSN in the context of Smart Energy-Efficient Buildings (SEEB) and from the formerly four listed perspectives to help in the design and implementation of optimal WSN for SEEB.
Starting Page	67
e-ISSN	22242708
DOI	10.3390/jsan10040067
Journal	Journal of Sensor and Actuator Networks
Issue Number	4
Volume Number	10
Language	English
Publisher	MDPI
Publisher Date	2021-11-26
Access Restriction	Open
Subject Keyword	Journal of Sensor and Actuator Networks Information and Library Science Wireless Sensor Network Iot Smart Buildings Energy Efficiency Wireless Mesh Networks Operating Systems
Content Type	Text
Resource Type	Article

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