Performance of Bluetooth in Homogeneous Environment

Shirsat, A. S.; Shirsat, S. A.; Yadav, D. M.

doi:10.14419/ijet.v7i4.36.24127

Cited by 2 publications

(3 citation statements)

References 12 publications

(12 reference statements)

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“…The new standard for Bluetooth, BLE is discussed in Reference [104] in terms of energy consumption for different modulation schemes, emphasizing the importance of energy per bit analysis for selecting the optimal range and rate. As shown and discussed in References [101,102,103,104], these inter-dependencies have a great impact on the power consumption of the sensor node with Bluetooth transceiver. The first strategy to obtain a lower BER is to use the lowest rate modulation schemes.…”

Section: 3d Visualization Of the Aws Emission Fields And Power Conmentioning

confidence: 99%

“…Reference [101] analyzes the impact of different modulation schemes on BER for Bluetooth with and without FHSS.Reference [103] proposes an algorithm for estimating the SNR based on the power spectrum that can adapt to different Bluetooth packets. Reference [102] analyzes the effects of interference on both BER and throughput. The new standard for Bluetooth, BLE is discussed inReference [104] in terms of energy consumption for different modulation schemes, emphasizing the importance of energy per bit analysis for selecting the optimal range and rate.…”

Section: Current Drawn By Medium To Short Range Transceiversmentioning

confidence: 99%

See 1 more Smart Citation

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

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Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.

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Section: 3d Visualization Of the Aws Emission Fields And Power Conmentioning

confidence: 99%

Section: Current Drawn By Medium To Short Range Transceiversmentioning

confidence: 99%

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Borza

Machedon-Pisu

Hamza-Lup

2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Alternate design namely wireless sensor networking has been proposed in place of traditional networking [13]. A performance study regarding Bluetooth under a homogeneous environment had been performed [14]. Also, investigation of different types of modulation techniques for Bluetooth-LE module for Internet-of-Things (IoT) applications has been done [15].…”

Section: Related Workmentioning

confidence: 99%

Neuro-Fuzzy Driven Context-Aware Optimized Topology for IoT - Nucot

Shantharajah

2019

IJRTE

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Due to technological evolution, the interaction between the user with local ambiance, the user with remote ambiance, and the user with machines become achievable as well as required reality. Also, process automation in manufacturing, as well as service industries, become a mandatory requirement. In the past interaction with ambiance was isolated and highly limited. Even the process automation was done secluded ways and was implemented using various independent single-purpose embedded systems. Since every such automation thrives to meet the non-functional requirements like cost, performance, reliability, availability, flexibility, and recoverability, the task of automation must be carried out at all possible levels. Moreover, such automation must be realized in cohesive and collaborated mode. These critical requirements have changed the landscape of interaction among different entities like man, machine, process, and Environment. The emergence of new technology namely “Internet of Things” has opened up several avenues to address as well as to meet above mentioned non-functional requirements. Already embedded system has revolutionized process automation across various industries but true automation or optimal automation requires meaningful interaction among man, machine, process, and environment. Hence, IoT objects along with other traditional systems are required to be interconnected to accomplish the best interaction which leads to smart living spaces as well as workspaces. However, these smart IoT objects are inherently made up of constrained resources such as limited computing ability, less storage capacity, and inadequate communication capability. Therefore, traditional network connectivity such as Ethernet LAN, Wi-Fi, Bluetooth LE, and other networking facilities may not provide customized as well as the optimized interconnection among these resources constrained IoT objects. Hence, an alternate topology is required to interconnect these IoT objects in an adaptable and optimized mode. Hence, this paper proposes a neuro-fuzzy driven contextaware optimized topology (NuCoT) for the interconnection of different IoT objects.

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Performance of Bluetooth in Homogeneous Environment

Cited by 2 publications

References 12 publications

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Neuro-Fuzzy Driven Context-Aware Optimized Topology for IoT - Nucot

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