Smart Intelligent System for Mobile Travelers Based on Fuzzy Logic in IoT Communication Technology

Memon, Imran; Fazal, Hadiqua; Shaikh, Riaz Ahmed; Mallah, Ghulam Ali; Arain, Rafaqat Hussain; Muhammad, Ghulam

doi:10.1007/978-981-15-5232-8_3

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…For the number of users communicating with each other within the sensitive region, if the user has less coverage, this means distance is high to region, increasing chances of a spoofing attack. Figure 5 shows output protection-sensitive region information of the fuzzy laws of our method when the number of users increases coverage probabilities, raising a high level of privacy protection [35].…”

Section: Resultsmentioning

confidence: 99%

Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology

Memon

Shaikh

Hasan

et al. 2020

Security and Communication Networks

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The Internet of Things (IoT) is susceptible to several identities, primarily based on attacks. However, these attacks are controlling for IoT due to extraordinary growth in consumers’ density and slight analysis with low power access nodes. In this work, we explore the possible flaws associated with security for IoT environment insensitively meant for transfer conditions. We proposed a novel design aimed at detecting a spoofing attack that inspects the probability distributions of received power founded for the regions designed for mobile (moving) users. Additionally, we examine the influence on the Confidentiality Scope of targeted consumers in the absence and presence of observer. Our approaches were done through simulation results used for three diverse regions. Grounded on outcomes, we suggest an algorithm called MTFLA, which will guarantee detection and protection techniques intended to protect vastly sensitive areas, i.e., wherever the chance of an attack is maximized. We provide a comparison among various security algorithms prepared for the energy consumption of different patterns. Simulation results revealed that the proposed algorithm for protection (MTFL) is verified to be energy-proficient (secure garnering). It decreases the energy prerequisite for encrypting the data. We evaluated our techniques over simulation results for sensitive region information built on fuzzy logic.

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Section: Resultsmentioning

confidence: 99%

Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology

Memon

Shaikh

Hasan

et al. 2020

Security and Communication Networks

Self Cite

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“…The fuzzy logic diverges from approach called SES Standard Expert System with mechanism called interpolation. According to the complex processes approach, it can be helpful to get more knowledge based on practical and expert operators rather than to compute optimal control [37][38][39].…”

Section: Fuzzy Control In the Fuzzy Control Systemsmentioning

confidence: 99%

“…The "if" section of rule set is known as the antecedent and the "then" section of rule set is known as the consequent. As we defined that I and j variables are used as input and k is the output variable [39]. The values "less", "greater", and "Average" are called fuzzy values of i and j; however, they are mapped by FS fuzzy sets.…”

Section: Fc Rulesmentioning

confidence: 99%

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

et al. 2021

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Many algorithms use clustering to improve vehicular ad hoc network performance. The expected points of many of these approaches support multiple rounds of data to the roadside unit and constantly include clustering in every round of single-hop data transmission towards the road side unit; however, the clustering in every round maximizes the number of control messages and there could be the possibility of collision and decreases in network energy. Multi-hop transmission prolongs the cluster head node’s lifetime and boosts the network’s efficiency. Accordingly, this article proposes a new fuzzy-clustering-based routing algorithm to benefit from multi-hop transmission clustering simultaneously. This research has analyzed the limitation of clustering in each round, different algorithms were used to perform the clustering, and multi-hop routing was used to transfer the data of every cluster to the road side unit. The fuzzy logic was used to choose the head node of each cluster. Three parameters, (1) distance of each node, (2) remaining energy, and (3) number of neighbors of every node, were considered as fuzzy criteria. The results of this research were compared to various other algorithms in relation to parameters like dead node in every round, first node expire, half node expire, last node expire, and the network lifetime. The simulation results show that the proposed approach outperforms other methods. On the other hand, the vehicular ad hoc network (VANET) environment is vulnerable at the time of data transmission. The NS-2 software tool was used to simulate and evaluate the proposed fuzzy logic opportunistic routing’s performance results concerning end-to-end delay, packet delivery, and network throughput. We compare to the existing protocols, such as fuzzy Internet of Things (IoT), two fuzzy, and Fuzzy-Based Driver Monitoring System (FDMS). The performance comparison also emphasizes an effective utilization of the resources. Simulations on the highway environment show that the suggested protocol has an improved Quality of Service (QoS) efficiency compared to the above published methods in the literature.

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“…It not only hoists the mobile network by linking the people, but also interconnects the machines and as well as regulates them. It will elevate the performance along with the efficiency of the network to empower the novel experiences for its users [1][2][3][4][5],…”

Section: Introductionmentioning

confidence: 99%

Technology and Advancements in Connected Living-Comprehensive Survey

Chen¹

2019

JEI

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The fifth generation technology is a novel network platform that concentrates not only improving the mobile paradigm but extends the network to aid a huge set of heterogeneous devices and service. This evolving technology would change the present scenario in the world by providing a seamless connection with an increased capacity, lower latency and higher speed. The paper presents the comprehensive survey on the emerging 5G technology and it advancements in connected living.

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Smart Intelligent System for Mobile Travelers Based on Fuzzy Logic in IoT Communication Technology

Cited by 6 publications

References 23 publications

Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology

Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology

Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks

Technology and Advancements in Connected Living-Comprehensive Survey

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