Energy Aware Cluster-Head Selection for Improving Network Life Time in Wireless Sensor Network

Khan, Faheem; Gul, Toor; Ali, Shujaat; Rashid, Abdur; Shah, Dilawar; Khan, Samiullah

doi:10.1007/978-3-030-01177-2_42

Cited by 10 publications

(8 citation statements)

References 5 publications

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“…In addition, almost all study articles used a theoretical approach without actually implementing the system, which might lead to overly optimistic conclusions for the delay in communication measures. Future work should take this issue into account especially in use of blockchain [ 57 , 58 , 59 , 60 , 61 ] of vehicular network [ 62 ] and wireless network [ 63 , 64 , 65 , 66 , 67 ] through systematic literature review [ 67 , 68 , 69 ].…”

Section: Resultsmentioning

confidence: 99%

The Potential of Blockchain Technology in Dental Healthcare: A Literature Review

Mokhamed

Talib

Moufti

et al. 2023

Sensors

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Blockchain technology in the healthcare industry has potential to enable enhanced privacy, increased security, and an interoperable data record. Blockchain technology is being implemented in dental care systems to store and share medical information, improve insurance claims, and provide innovative dental data ledgers. Because the healthcare sector is a large and ever-growing industry, the use of blockchain technology would have many benefits. To improve dental care delivery, researchers advocate using blockchain technology and smart contracts due to their numerous advantages. In this research, we concentrate on blockchain-based dental care systems. In particular, we examine the current research literature, pinpoint issues with existing dental care systems, and consider how blockchain technology may be used to address these issues. Finally, the limitations of the proposed blockchain-based dental care systems are discussed which may be regarded as open issues.

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Section: Resultsmentioning

confidence: 99%

The Potential of Blockchain Technology in Dental Healthcare: A Literature Review

Mokhamed

Talib

Moufti

et al. 2023

Sensors

Self Cite

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“…Due to its complexity, it increases computation time. Likewise, [23] proposed a collaborative filtering approach that performs better due to WSN (Wireless Sensor Network) [24,25] installations around tourist sites (IoT sensors on edge). It provides the convenience of uploading tourist information and rating POI using smartphones.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, such a method fails to tackle the cold start problem because it is not feasible to implement WSN in all tourist spots, as a result, there may be some locations that remain unrated/ unvisited due to the unavailability of sensors/devices at various spots. In this regard, [14] and [25] come up with different approaches to resolving the cold start problem using the notion of CARS (Context-Aware Recommender System), they have tried to get contextual information for achieving better results but ignored the importance of preference dynamics. Sampling on graphs has been used in various flavors, but less attention has been paid to matching a large set of graph properties.…”

Section: Literature Reviewmentioning

confidence: 99%

NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing

et al. 2023

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During the last decades, tourism has been augmented worldwide through which the diversity of tourists’ interests is increased and is challenging to tackle with the traditional management system. Such challenges can be overcome by LBSNs (Location-Based Social Networks) such as Yelp, Foursquare, and Facebook which help to collect more personalized information close to tourists’ preferences/interests like check-ins, comments, and reviews. In this regard, solutions have been proposed to exploit the POI (Point of Interest) recommendation, but they failed to overcome sparsity and cold-start problems. Existing methods are also not focusing on important aspects, including geographical context, dynamics preferences and social influence, which are essential factors in POI recommendation. Therefore, this work tried to incorporate these factors and present a unified model using bipartite networks to learn users and POI dynamics. For this purpose, we have represented all the factors using eleven networks and combined them into a single latent space. In addition, Edge Computing processes data at the network's edge, reducing latency and bandwidth usage and enabling real-time and personalized recommendations. Furthermore, cloud computing could be used to store and process the large amounts of data collected from LBSNs, to support the proposed model's computational requirements and make it more accessible and scalable, allowing it to be easily used by tourism management systems worldwide. Experimental results show that our model outperforms state-of-the-art methods using real-world dataset in terms of accuracy and perform better against sparsity and cold-start problems.

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“…Still, the requirement of each layer is different from the other layer in term of power. Therefore, the situation is challenging when a device discovery protocol confirming the availability of services at the MAC layer with minimum energy is used [ 95 ]. Consequently, it is necessary to make a power-efficient protocol at each layer for specific devices and in a particular situation, and it will be more adaptable in pandemic situations.…”

Section: Iot Based Healthcare Challenges During Covid-19mentioning

confidence: 99%

Application and Challenges of IoT Healthcare System in COVID-19

Al‐Atawi

Khan

Kim

2022

Sensors

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The importance of the IoT is increasing in every field of life, and it especially has a significant role in improving the efficiency of the healthcare system. Its demand further increased during COVID-19 to facilitate the patient remotely from their home digitally. Every time the COVID-19 patient visited the doctor for minor complications, it increased the risk of spreading the virus and the cost for the patient. Another alarming situation arose when a patient was in a critical position and may not claim an emergency service from the nearby healthcare system, increasing the death rate. The IoT uses healthcare services to properly monitor COVID-19 patients by using the interconnected network to overcome these issues. Through the IoT, the patient is facilitated by the health care system without spreading the virus, decreasing the death ratio during COVID-19. This paper aims to discuss different applications, technologies, and challenges of the IoT healthcare system, related to COVID-19. Different databases were searched using keywords in PubMed, ResearchGate, Scopus, ACM, Springer, Elsevier, Google Scholar, etc. This paper is trying to discuss, identify, and highlight the useful applications of the IoT healthcare system to provide guidelines to the researchers, healthcare institutions, and scientists to overcomes the hazards of COVID-19 pandemics. Hence, IoT is beneficial by identifying the symptoms of COVID-19 patients and by providing better treatments that use the healthcare system efficiently. At the end of the paper, challenges and future work are discussed, along with useful suggestions through which scientists can benefit from the IoT healthcare system during COVID-19 and in a severe pandemic. The survey paper is not limited to the healthcare system and COVID-19, but it can be beneficial for future pandemics or in a worse situation.

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Energy Aware Cluster-Head Selection for Improving Network Life Time in Wireless Sensor Network

Cited by 10 publications

References 5 publications

The Potential of Blockchain Technology in Dental Healthcare: A Literature Review

The Potential of Blockchain Technology in Dental Healthcare: A Literature Review

NPR-LBN: next point of interest recommendation using large bipartite networks with edge and cloud computing

Application and Challenges of IoT Healthcare System in COVID-19

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