2021
DOI: 10.1007/978-981-16-5168-7_12
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A Survey on Energy Saving Technology of Wireless Sensor Network

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Cited by 2 publications
(3 citation statements)
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“…The introduction of wireless sensor network technologies into the IoT makes it possible for a global interconnection of intelligent devices with improved features. One of the fundamental technologies that underpins smart homes is a wireless home automation network (Zhang, 2021). It is made up of sensors and actuators that are connected to a network and collaborate with one another to share resources.…”
Section: Applications Of Iot Smart Home Automationmentioning
confidence: 99%
“…The introduction of wireless sensor network technologies into the IoT makes it possible for a global interconnection of intelligent devices with improved features. One of the fundamental technologies that underpins smart homes is a wireless home automation network (Zhang, 2021). It is made up of sensors and actuators that are connected to a network and collaborate with one another to share resources.…”
Section: Applications Of Iot Smart Home Automationmentioning
confidence: 99%
“…Their study shows for network efficiency and lifetime two important aspects are energy overhead and route selection. In 2022, Zhang 33 presented a survey on energy saving technology of WSN. In this study, he worked on MAC protocols related to energy‐saving designs and energy consumption for different units of a sensor node.…”
Section: Literature Review Of the Current Status Of The Survey In Wsnmentioning
confidence: 99%
“…In the cluster-based architecture, data is stored in three locations: the SN, the CH, and finally the BS. 16 Preceding survey studies and literature review focused on specific topics for instance a review of data aggregation in WSNs, [17][18][19][20][21][22] data compression methods, 21,23 hierarchical routing protocols, [24][25][26] a survey of clustering in heterogeneous and homogeneous WSN, 26 energy-efficient routing protocol, [27][28][29][30] energy efficiency in WSNs, [31][32][33][34] network lifetime, 35,36 data management in WSN, 6,[37][38][39] machine learning [40][41][42][43] and deep learning [38] in WSN, computational intelligence techniques 44 and network monitoring in WSN, 45 big data challenges in WSN, 22,46,47 security issues in WSN, [48][49][50] multi-objective QoS optimization in WSN, 51 localization and coverage in WSN 52,53 (presented in detail in Section 2). This review article, on the other hand, intends to categorize the current data transmission reduction techniques...…”
Section: Introductionmentioning
confidence: 99%