Low-energy algorithm for self-controlled Wireless Sensor Nodes

Baharudin, Ahmad Muzaffar bin; Saari, Mohd Yusof; Sillberg, Pekka; Rantanen, Petri; Soini, Jari; Kuroda, Tadahiro

doi:10.1109/wincom.2016.7777188

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…The problems of packet allocation and packet size are researched. Baharudin et al [15] propose a frequency control mechanism for cognitive radio-based WSN. Xu et al [16] study the transmission of multimedia data in WSN.…”

Section: Related Workmentioning

confidence: 99%

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

et al. 2020

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In recent years, the rapid advancements in Internet of Things boost the utilization of Wireless Sensor Network (WSN). Through WSN, a huge amount of various kinds of data can be acquired from different environments, which further facilitate us to harness the world we live. However, the error-prone and unpredictable natures of wireless links significantly impair the quality of data transmission and the utility of acquired data in WSN. Therefore, to solve this crucial problem, this paper focuses on data access control and hybrid transmission control of WSN. Based on the mathematical models of the two control operations, an intractable optimization problem is first formulated with numerous considerations, including data utility, energy consumption, network stability and data loss rate. Because of the complexity and intractability of the originally formulated problem, a Lyapunov function-based network optimization theory is utilized to transform and decompose it into three relatively simple subproblems. Stochastic Data Scheduling Mechanism (SDSM) is designed based on the solutions to the three subproblmes. The optimality and implementation of SDSM are also analyzed. Finally, the performance of SDSM is demonstrated through extensive evaluations. INDEX TERMS Wireless sensor network, data access, hybrid transmission, stochastic scheduling.

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Section: Related Workmentioning

confidence: 99%

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

et al. 2020

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“…The WSN and sensor networks have several possible technologies for data transfer, for example: Ethernet [30], WiFi, ZigBEE [31] and LoRa [32]. In addition, power saving algorithms for WSN [33] and network topology related issues of Portable Fog Gateways [34] can be considered important topics.…”

Section: Rapid Prototypingmentioning

confidence: 99%

“…In addition, most of the energy is consumed in the wireless transmission of data and consequently it is important to only send what is required (optimization of the nodes). The energy consumption issue was handled more specifically by [33].…”

Section: Data Gathering With Sensor Network-modeling Piloting and Tes...mentioning

confidence: 99%

Reducing Energy Consumption with IoT Prototyping

Saari¹,

Sillberg²,

Gronman³

et al. 2019

ACTA POLYTECH HUNG

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Nowadays, energy consumption and especially energy saving, are topics of great importance. Recent news regarding global warming has increased the need to save energy. In Finland, one of the major sources of energy consumption is housing. Furthermore, the heating of residential buildings accounts for up to 68% of housing energy consumption. Therefore, it is not surprising that apartment energy consumption and ways to save energy in housing are a popular research topic in Finland. In this paper, two different research areas are introduced: First, a literature survey is presented on the research subjects of energy saving in the area of real estate and housing. The goal is to gain overall knowledge of the current state of energy saving research. The overall conclusion is that knowledge of energy consumption improves efforts toward energy saving. Second, rapid prototyping with off-the-shelf devices and open source software are described. These devices are cheap to install, and a wide range of sensors are available. Consequently, it is important to deal with these topics together. The former studies provide knowledge about the usage of open hardware, open software, and open architectures with the development of prototype systems for gathering data. The literature survey gives us new information on the specialties of energy consumption measuring, offering a new area for modeling and developing prototype systems. These experiences will be taken forward and utilized in energy saving and environmentally sustainable solutions, such as Green Computing.

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“…Wireless sensor systems need a large amount of storage space and energy in wireless data transmission [8]. However, wireless sensor has limited energy, computing, and storage capabilities.…”

Section: Introductionmentioning

confidence: 99%

Compressed Sensing for Energy Conservation Pavement Temperature Compression on Epave

Xiao

Zhang

et al. 2020

IEEE Access

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Monitoring the road condition has gain significant importance in last few years. Among existing road monitoring technologies, wireless sensor network (WSN) is favored by researchers because of its low cost and flexibility in deployment. Specifically, it can collect road condition data spontaneously and transmit the information to a fusion center that can determine the damage level or status of the road surface. However, there is a big challenge preventing the wide deployment of WSN that the sensor nodes can only survive for a limited time in practice. It is because majority of the power has been spent on the continuous wireless transmission of the extensive road data to the fusion center. In this study, we propose a low-power temperature data transmission scheme based on compressed sensing in combination with selfpowered road surface wireless monitoring sensor system to realize data sparseness and compression and reduce system power consumption. Experimental results show that the compressed data can reduce the power consumption requirement by 50.78% under the allowable reconstruction error by comparison with the existing approaches.

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Low-energy algorithm for self-controlled Wireless Sensor Nodes

Cited by 8 publications

References 13 publications

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

Stochastic Optimization of Data Access and Hybrid Transmission in Wireless Sensor Network

Reducing Energy Consumption with IoT Prototyping

Compressed Sensing for Energy Conservation Pavement Temperature Compression on Epave

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