Modified Multipath Routing Protocol Applied On Ns3 Dcell Network Simulation System

<p class="0abstract">Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating the Coronavirus pandemic (COVID-19). As the COVID-19 pandemic spreads, several people have drawn parallels to influenza. While both viruses cause respiratory infections, they propagate in very different ways. This has a major impact on the public health measures that can be used to fight each virus. These viruses are pandemic-causing in the same way. That is, they both cause respiratory disease, and can present themselves in several ways, ranging from asymptomatic to severe and deadly. A proposal is presented in this paper that uses two algorithms to define and classify these pandemics, they are: The Back Propagation (BP) classification algorithm and the Fuzzy C-Mean (FCM) clustering algorithm. Two stages are implemented in the proposed system: in the first step, the FCM algorithm is used to find out the type of virus, and this algorithm is capable of handling ambiguous features of viruses. In the second step, a BP neural network is used as a classifier to detect the pandemic class. The proposed system was trained and tested using a well-known dataset (covid-19 vs influenza). Information Gain (IG) is used to optimize the related features that affect the classification process to improve speed and accuracy. The proposed mobile application is developed to support users easily detecting the COVID-19 infection by inputting the medical tests as significant features to the proposed system. The proposed system's accuracy is up to (89%), the framework was created using the Matlab programming environment and an Android Studio for Mobil application designing.</p>

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“…A sample of class I can be found in the training dataset C i . The expected data used to identify a sample is determined [26][27][28].…”

Section: Information Gain (Ig)mentioning

confidence: 99%

Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System

Al-zubidi

AL-Bakri

Hasoun

et al. 2021

Int. J. Interact. Mob. Technol.

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“…Recently, location-based multicast routing protocols have attracted the attention of many researchers because these protocols scale quite well in large wireless networks in addition to the commercial proliferation of GPS devices [8]. In position-based routing, geographical location information is used to localize the control message propagation and to help the routing layer scale to support very large networks [9].…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach to Support Scalable Multicast Routing in Wireless Ad Hoc Networks

Qabajeh

2022

Int. J. Interact. Mob. Technol.

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Nowadays, group communications over Mobile Ad hoc Networks (MANETs) have received significant attention. Multicasting plays an important role in simultaneous delivery of information to group of receivers. Thus, it is necessary to design efficient and effective multicast routing protocol to support group communication applications. Several efforts have been put to improve multicast routing. However, they do not consider scalability issue. This paper introduces a a novel Scalable Geographic Multicast Routing Protocol (SGMRP). The main objective of this protocol is to design a lightweight scalable multicast routing scheme irrespective of the number of multicast members and network size. To achieve this, a virtual clustering strategy has been introduced. This strategy based on partitioning the network into sectorial zones. The proposed solution performs efficient packet forwarding with reduced communication overhead. The proposed scheme eliminates the duplicate packets between clusters and reduces the number of participating nodes

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“…Geographic protocol. A routing is said to be geographic when the routing decisions are based on the position of the nodes [14]. This type of routing uses information about the location or location of sensor nodes.…”

Section: Ad Hoc On Demand Distance Vector (Aodv)mentioning

confidence: 99%

Routing Communication Inside Ad Hoc Drones Network

Zemrane¹,

Baddi

Hasbi³

2021

Int. J. Interact. Mob. Technol.

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The world knows a constant development of technology applied in different sectors of activities: health, factories, homes, transportation, and others, one of the big axes that take a lot of attention today is the drone’s field. To communicate information a fleet of drones can use different communication architectures: centralized communication architecture, satellite communication architecture, cellular network communication architecture and a specific AdHoc communication architecture called the UAANET drones architecture. In our work we focused specifically on the routing of information inside the UAANET where we analyze and compare the performances of the reactive protocol AODV and the proactive protocol OLSR, when the UAANET use an applications based on the HTTP protocol, the FTP protocol, the database queries, voice application, and video conferencing application.

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Modified Multipath Routing Protocol Applied On Ns3 Dcell Network Simulation System

Cited by 7 publications

References 19 publications

Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System

Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System

A Novel Approach to Support Scalable Multicast Routing in Wireless Ad Hoc Networks

Routing Communication Inside Ad Hoc Drones Network

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