Containerized IoT Solution for Efficient Mobile Vertical Handover

Gaur, Amit Singh

doi:10.22215/etd/2018-12884

Cited by 3 publications

(6 citation statements)

References 29 publications

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“…The calculated weighted normalized decision matrix U is depicted in matrix Step 4: Determine the positive ideal solution S + and the negative ideal solution S − by using matrix (5) and matrix 7, where J is associated with the benefit criteria and is J*associated with the cost criteria. RSS Quality, Data Rate, Reliability and Network Coverage are benefit criteria.…”

Section: Proposed Mcvhd Methods Based On Enhanced Topsis Techniquementioning

confidence: 99%

“…RSS Quality, Data Rate, Reliability and Network Coverage are benefit criteria. For calculating positive ideal solution, the benefit criteria should be chosen using maximum values and the cost criteria should be selected with the minimum value from matrix (5). The calculated value is represented by matrix (6).…”

Section: Proposed Mcvhd Methods Based On Enhanced Topsis Techniquementioning

confidence: 99%

“…In [4] [5], the authors proposed the architecture of a mobile IoT Edge Gateway that is capable of performing vertical handovers between Wi-Fi and Satellite networks based on Received Signal Strength (RSS) using Edge computing. Edge computing brings the datacenters (or mini-data centers) closer to the users or MTs to shorten the delay compared to Cloud computing.…”

Section: Introductionmentioning

confidence: 99%

“…Edge computing brings the datacenters (or mini-data centers) closer to the users or MTs to shorten the delay compared to Cloud computing. The concept of containerized microservices on mobile IoT Edge Gateway is presented in [5] [6], as a lightweight and efficient solution, which can be easily deployed and integrated with different development environments. In [7] [8] [9], the authors have discussed the benefits, challenges and performance evaluation of deployment of IoT gateways as a middleware solution at the Edge Gateway.…”

Section: Introductionmentioning

confidence: 99%

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Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Gaur¹,

Budakoti²,

Lung³

2020

AIT

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Internet of Things (IoT) is ubiquitous, including objects or devices communicating through heterogenous wireless networks. One of the major challenges in mobile IoT is an efficient vertical handover decision (VHD) technique between heterogenous networks for seamless connectivity with constrained resources. The conventional VHD approach is mainly based on received signal strength (RSS). The approach is inefficient for vertical handover, since it always selects the target network with the strongest signal without taking into consideration of factors such as quality of service (QoS), cost, delay, etc. In this paper, we present a hybrid approach by integrating the multi-criteria based VHD (MCVHD) technique and an algorithm based on fuzzy logic for efficient VHD among Wi-Fi, Radio and Satellite networks. The MCVHD provides a lightweight solution that aims to achieving seamless connectivity for mobile IoT Edge Gateway over a set of heterogeneous networks. The proposed solution is evaluated in real time using a testbed containing real IoT devices. Further, the testbed is integrated with lightweight and efficient software techniques, e.g., microservices, containers, broker, and Edge/Cloud techniques. The experimental results show that the proposed approach is suitable for an IoT environment and it outperforms the conventional RSS Quality based VHD by minimizing handover failures, unnecessary handovers, handover time and cost of service.

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Section: Proposed Mcvhd Methods Based On Enhanced Topsis Techniquementioning

confidence: 99%

Section: Proposed Mcvhd Methods Based On Enhanced Topsis Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Gaur¹,

Budakoti²,

Lung³

2020

AIT

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“…Recently, network selection algorithms based on MADM methods have been proposed specifically for IoT devices. Gaur [26] proposed a handover decision algorithm in heterogeneous networks based on MADM methods for IoT devices. Ayoub et al [27] proposed the vertical handover decision based smart transportation systems for IoT devices.…”

Section: Introductionmentioning

confidence: 99%

Network selection based on chi-square distance and reputation for internet of things

Radouche¹,

Leghris²

2023

IJECE

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The internet of things (IoT) has become one of the most important technologies of the 21<sup>st</sup> century. The IoT environment is composed of heterogeneous IoT communication networks. These technologies are complementary and need to be integrated to meet the requirements of different types of IoT applications that require the mobility of the IoT device under different IoT communication networks. In this paper, the vertical handover decision method is considered to select the appropriate network among different IoT technologies. So, IoT devices, equipped with several radio technologies, can select the most suitable network based on several criteria like quality of service (QoS), cost, power, and security. In this work, a multi-attribute decision-making algorithm (MADM) based on techniques for order preference by similarity to an ideal solution (TOPSIS) that uses chi-square distance instead of Euclidean distance is proposed. The network reputation is added to reduce the average number of handoffs. The proposed algorithm was implemented to select the best technology depending on the requirements of the different IoT traffic classes. The obtained results showed that our proposition outperforms the traditional MADM algorithms.

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A Scalable Approach to Improve Security and Resilience of Smart City IoT Architectures

Zakurdaev

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The swift emergence of smart technologies, notably the Internet of Things (IoT), has revolutionized numerous industry sectors. However, outdated IoT architectures constrain innovation in smart cities due to scalability issues, compromised resilience, and security vulnerabilities. This thesis scrutinizes these challenges, advocating a contemporary approach to IoT system design. Prioritizing performance, scalability, security, and resilience, the research delves into the applicability of Platform-as-a-Service (PaaS) and Infrastructure-as-Code (IaC) methodologies, endorsing containerization and cloud-centric patterns for smart city IoT. The introduced model is contrasted with prevailing architectures, highlighting a trajectory for IoT progression. Merging empirical and theoretical insights, this study furnishes guidelines for the future of IoT in smart industries, underscoring the benefits of service-based architectures for efficiency, resilience, and security. iii This MASc thesis owes its existence to the guidance and encouragement of many. My appreciation goes to Dr. Chung-Horng Lung, whose keen insights sparked my interest in cloud technologies, one of the most fascinating focus areas of this research. I am also indebted to Mohammed Ismail, a long-time friend and academic cohort. His eagerness to explore the complexities of containerization technologies along with me, combined with his invaluable advice during the implementation and testing phases of my experiments, contributed significantly to the success of this work. My family, a constant source of strength, and my patient fiancé, who has endured my long working hours and has always stood by me, deserve heartfelt recognition. I would be remiss not to mention my two feline companions, whose incessant meows formed a harmonic and cheering soundtrack outside my office door. Finally, I attribute the greatest part of this journey's success to the unwavering guidance of my supervisor, Dr. Jason Jaskolka. His mentorship, from igniting my interest in cybersecurity to the detailed critiques of my work and consistent support, has been profoundly inspirational. His exemplary efficiency and dedication to his students' success were guiding lights during challenging times, for which I am endlessly grateful.

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Containerized IoT Solution for Efficient Mobile Vertical Handover

Cited by 3 publications

References 29 publications

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

Network selection based on chi-square distance and reputation for internet of things

A Scalable Approach to Improve Security and Resilience of Smart City IoT Architectures

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