Performance of RPL in Healthcare Wireless Sensor Network

Al-Shargabi, Bassam

doi:10.30534/ijeter/2020/31832020

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…As expected, the results show that NullRDC is better in terms of latency, while ContikiMac outperforms the others in terms of power consumption. Al-Shargabi and Aleswid [ 131 ] also utilize the Cooja network simulator to evaluate which OF is more suitable for a WSN in healthcare scenarios. OF0 and ETX are examined in various network topologies, such as the grid and random topology, under diverse densities.…”

Section: Routing For Data Gathering In Wsnmentioning

confidence: 99%

Data Gathering Techniques in WSN: A Cross-Layer View

Gurewitz

Shifrin

Dvir

2022

Sensors

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Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their applicability to a large variety of technological domains and applications, ranging from the Internet of things (IoT) for smart cities and smart homes to wearable technology healthcare applications, underwater, agricultural and environmental monitoring and many more. This expansion is rapidly growing every passing day in terms of the variety, heterogeneity and the number of devices which such applications support. Data collection is commonly the core application in WSN and IoT networks, which are typically composed of a large variety of devices, some constrained by their resources (e.g., processing, storage, energy) and some by highly diverse demands. Many challenges span all the conceptual communication layers, from the Physical to the Applicational. Many novel solutions devised in the past do not scale well with the exponential growth in the population of the devices and need to be adapted, revised, or new innovative solutions are required to comply with this massive growth. Furthermore, recent technological advances present new opportunities which can be leveraged in this context. This paper provides a cross-layer perspective and review of data gathering in WSN and IoT networks. We provide some background and essential milestones that have laid the foundation of many subsequent solutions suggested over the years. We mainly concentrate on recent state-of-the-art research, which facilitates the scalable, energy-efficient, cost-effective, and human-friendly functionality of WSNs and the novel applications in the years to come.

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Section: Routing For Data Gathering In Wsnmentioning

confidence: 99%

Data Gathering Techniques in WSN: A Cross-Layer View

Gurewitz

Shifrin

Dvir

2022

Sensors

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“…In Al‐Shargabi and Aleswid, 19 ETX and OF0 metrics in a WSN healthcare Scenario were evaluated. The topologies that were used in this research were random and grid with diverse RX and it was shown that OF0 is more efficient than ETX in terms of PDR compared to power consumption and therefore in healthcare implementation of RPL such as ICU which the PDR must be high, OF0 is the most used.…”

Section: Related Workmentioning

confidence: 99%

Performance improvement of Routing Protocol for Low‐Power and Lossy Networks protocol in an Internet of Things‐based smart retail system

Nazaralipoorsoomali

Asghari

Javadi

2022

Int J Communication

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Summary The Internet of Things (IoT) technology improvement has led to concepts such as smart retail and supply chain management systems. The main problem with IoT‐based smart retail and supply chain management systems is the need for a high‐speed network for responding quickly to many transactions within the network. If the network is not able to respond to all transactions quickly, it will not be possible to handle all requests in time. Also, the network must be stable and reliable to ensure that all requests are received and answered. And finally, they must have a very low power consumption metric to reduce costs. This paper suggests a Multi‐Sink Routing Protocol for Low‐Power and Lossy Networks (RPL) topology for network node placement to achieve network performance improvement. The proposed topology is modeled in a simulated environment using an Instant Contiki operating system by Cooja simulator and is evaluated regarding the different performance metrics including packet delivery ratio (PDR), power consumption, node participation, and control traffic overhead. Also, the network behavior is analyzed by the Wireshark tool. The results show achieving better performance and improving the level of confidence.

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“…Al-Shargabi et al 20 present a WSN based health care system. They deployed the nodes in a rectangular area of 1000 meters square.…”

Section: Related Workmentioning

confidence: 99%

A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system

Haque

Hossain

Sarker

et al. 2022

Sci Rep

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In recent years, the nuclear power plant has received huge attention as it generates vast amounts of power at a lower cost. However, its creation of radioactive wastes is a major environmental concern. Therefore, the nuclear power plant requires a reliable and uninterrupted monitoring system as an essential part of it. Monitoring a nuclear power plant using wireless sensor networks is a convenient and popular practice now. This paper proposes a hybrid approach for monitoring wireless sensor networks in the context of a nuclear power plant in Bangladesh. Our hybrid approach enhances the lifespan of wireless sensor networks reducing power consumption and offering better connectivity of sensors. To do so, it uses both the topology maintenance and topology construction algorithms. We found that the HGETRecRot topology maintenance algorithm enhances the network lifetime compared to other algorithms. This algorithm increases the communication and sensing coverage area but decreases the network performance. We also propose a prediction model, based on linear regression algorithm, that predicts the best combination of topology maintenance and topology construction algorithms.

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Performance of RPL in Healthcare Wireless Sensor Network

Cited by 8 publications

References 24 publications

Data Gathering Techniques in WSN: A Cross-Layer View

Data Gathering Techniques in WSN: A Cross-Layer View

Performance improvement of Routing Protocol for Low‐Power and Lossy Networks protocol in an Internet of Things‐based smart retail system

A hybrid approach to enhance the lifespan of WSNs in nuclear power plant monitoring system

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