Comparative Performance Analysis of Wireless Communication Protocols for Intelligent Sensors and Their Applications

Chakkor, Saad; Cheikh, El Ahmadi; Baghouri, Mostafa; Hajraoui, Abderrahmane

doi:10.14569/ijacsa.2014.050413

Cited by 35 publications

(25 citation statements)

References 17 publications

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“…So, the battery lifetime is the most important parameter in the design of sensor nodes for IoT applications. The battery life time in sensor nodes influence by [3]:…”

Section: Wireless Sensor Network For Iot Applicationsmentioning

confidence: 99%

“…In wireless transmissions, the relationship between the received power and the transmitted power as in 1 [3]. …”

Section: Effect Of Distance Between Nodes and Transmission Powermentioning

confidence: 99%

“…The required transmission time is proportional to the data payload size and it is not proportional to the maximum data rate only [3]. So, another comparison between protocols must be introduced in terms of data payload size as shown in Table 5.…”

Section: Transmission Time and Power Consumptionmentioning

confidence: 99%

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A Study of Efficient Power Consumption Wireless Communication Techniques/ Modules for Internet of Things (IoT) Applications

Mahmoud¹,

Mohamad²

2016

AIT

162

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A study of wireless technologies for IoT applications in terms of power consumption has been presented in this paper. The study focuses on the importance of using low power wireless techniques and modules in IoT applications by introducing a comparative between different low power wireless communication techniques such as ZigBee, Low Power Wi-Fi, 6LowPAN, LPWA and their modules to conserve power and longing the life for the IoT network sensors. The approach of the study is in term of protocol used and the particular module that achieve that protocol. The candidate protocols are classified according to the range of connectivity between sensor nodes. For short ranges connectivity the candidate protocols are ZigBee, 6LoWPAN and low power Wi-Fi. For long connectivity the candidate is LoRaWAN protocol. The results of the study demonstrate that the choice of module for each protocol plays a vital role in battery life due to the difference of power consumption for each module/protocol. So, the evaluation of protocols with each other depends on the module used.

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“…So, the battery lifetime is the most important parameter in the design of sensor nodes for IoT applications. The battery life time in sensor nodes influence by [3]:…”

Section: Wireless Sensor Network For Iot Applicationsmentioning

confidence: 99%

“…In wireless transmissions, the relationship between the received power and the transmitted power as in 1 [3]. …”

Section: Effect Of Distance Between Nodes and Transmission Powermentioning

confidence: 99%

See 1 more Smart Citation

A Study of Efficient Power Consumption Wireless Communication Techniques/ Modules for Internet of Things (IoT) Applications

Mahmoud¹,

Mohamad²

2016

AIT

162

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“…The first-tier consists of a sensor node on a patient body or the wireless body area network connection [5]. Data from the sensor node will be transmitted to the second-tier using wired or wireless communication such as Bluetooth and ZigBee [15] [16].…”

Section: Figure 1 Mobile E-health Architecturementioning

confidence: 99%

Authentication scheme interface for mobile e-health monitoring using unique and lightweight identity-based authentication

Kamarudin

Yussoff

2016

AIP Conference Proceedings

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Abstract. Mobile e-health is currently a develop technology where people nowadays can connect to the healthcare centre through medical body area network sensors and mobile devices. Since the data transmitted through the mobile e-health system are extremely sensitive and private, a strong authentication needs to be implemented in the network system. Due to high demand in e-health monitoring system, e-health authentication has become the main concern in the network system since it will transmit patient data to the healthcare server. In addition, the e-health server will store all of the patient vital signs for further analysis by the healthcare personnel. This paper presents a secure and strong identity based authentication protocol for mobile e-health monitoring system using IBE_Trust algorithm and Pulse_Sensor mobile application that will eliminate a lot of security weaknesses in mobile e-health. Through security analysis, we are able to demonstrate that this authentication scheme is more secure and efficient compared to the current e-health authentication protocol.

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“…Comparative performance analysis of six wireless protocols namely zigbee, Bluetooth, UWB, wifi, Wimax and GSM/GPRS is done. The conclusion is drawn that the selection of suitable protocol depends on parameters such as reliability, installation cost, security, data rate requirement etc [4]. The comparative study of wireless technology for industrial application is done.…”

Section: Literature Surveymentioning

confidence: 99%

Optimization of Sensor and Wireless Network for Forest Fire Detection

Sharma¹,

Bhattacharjee

2016

IJFGCN

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Comparative Performance Analysis of Wireless Communication Protocols for Intelligent Sensors and Their Applications

Cited by 35 publications

References 17 publications

A Study of Efficient Power Consumption Wireless Communication Techniques/ Modules for Internet of Things (IoT) Applications

A Study of Efficient Power Consumption Wireless Communication Techniques/ Modules for Internet of Things (IoT) Applications

Authentication scheme interface for mobile e-health monitoring using unique and lightweight identity-based authentication

Optimization of Sensor and Wireless Network for Forest Fire Detection

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