Application of computational intelligence techniques for internet of things: an extensive survey

Shreyas, J.; Jumnal, Anand; Kumar, Sharad; Venugopal, K.R.

doi:10.1504/ijcistudies.2020.109607

Cited by 13 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Internet of Things (IoT) encompasses the connectivity of everyday objects with digital infrastructures. By embedding computing and communication capabilities in objects, the IoT facilitates the development of intelligent services across various industries such as smart cities, Industry 4.0, and healthcare systems [11] [25]. However, the widespread adoption of IoT technology has resulted in a substantial surge in Big Data generation, highlighting the need for an efficient platform to handle vast amounts of data.…”

Section: Context and Issuesmentioning

confidence: 99%

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

mokni,

Yassa

2024

Preprint

View full text Add to dashboard Cite

Internet of Things (IoT) applications have gained widespread adoption across diverse sectors such as healthcare, smart agriculture, smart cities, transportation, and water management, leading to a substantial generation of Big Data. To efficiently process this voluminous data, there is a pressing need for a platform capable of handling large quantities. However, real-time applications face challenges in cloud processing due to high latency. Fog computing, serving as a complementary infrastructure to the cloud, emerges as a viable solution by facilitating task processing, networking, and data storage in cloud data centers accessible to mobile users. Task offloading emerges as a promising fog computing solution to overcome resource constraints in IoT applications. This involves the execution of part or all of mobile applications in the cloud, aiming to enhance execution time and reduce energy consumption. Our research concentrates on optimizing the IoT task offloading problem within heterogeneous environments, considering conflicting constraints. This optimization challenge is formulated as a multi-objective problem, emphasizing energy consumption and latency Quality of Service (QoS) metrics. Our proposed solution, named Tof-NSGAII, is tailored to respect the finite resources of fog computing by adeptly balancing workloads and meeting the latency requirements of IoT tasks. We have adapted the widely employed meta-heuristic, the non-dominant sorting genetic algorithm (NSGA-II), to generate a set of non-dominated multi-objective task offloading optimization solutions, considering both energy consumption and latency. Experimental results showcase the efficacy of Tof-NSGAII in generating task offloading solutions that judiciously distribute executed tasks between fog and cloud computing environments based on their specific requirements. Additionally, the generated non-dominated solutions demonstrate optimality in terms of energy consumption, boasting an average energy reduction of 12.18\% compared to alternative approaches. Notably, our approach introduces only a marginal increase in latency, amounting to 0.38\%, a difference that can be considered negligible.

show abstract

Section: Context and Issuesmentioning

confidence: 99%

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

mokni,

Yassa

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Inferring abstractions from current sensor observations, converting raw data into machine-interpretable abstractions [150,151], aligning NLP and rule modeling, and annotation methodology in semantic languages is a matter of research. Modeling abductive (semiotic, associated, situated) and streaming reasoning in a usable way is still a difficult problem [152][153][154]. Likewise, aligning systemic interdependence, semantic interoperability and organic decentralization constitutes a challenge.…”

Section: Beyond the Ai4people Smart Model For Legal Governancementioning

confidence: 99%

Law, Socio-Legal Governance, the Internet of Things, and Industry 4.0: A Middle-Out/Inside-Out Approach

Casanovas

Koker

Hashmi

2022

View full text Add to dashboard Cite

The Web of Data, the Internet of Things, and Industry 4.0 are converging, and society is challenged to ensure that appropriate regulatory responses can uphold the rule of law fairly and effectively in this emerging context. The challenge extends beyond merely submitting digital processes to the law. We contend that the 20th century notion of ‘legal order’ alone will not be suitable to produce the social order that the law should bring. The article explores the concepts of rule of law and of legal governance in digital and blockchain environments. We position legal governance from an empirical perspective, i.e., as an explanatory and validation concept to support the implementation of the rule of law in the new digital environments. As a novel contribution, this article (i) progresses some of the work done on the metarule of law and complements the SMART middle-out approach with an inside-out approach to digital regulatory systems and legal compliance models; (ii) sets the state-of-the-art and identifies the way to explain and validate legal information flows and hybrid agents’ behaviour; (iii) describes a phenomenological and historical approach to legal and political forms; and (iv) shows the utility of separating enabling and driving regulatory systems.

show abstract

EERO: Energy Efficient Route Optimization Technique for IoT Network

Shreyas

Chouhan

Rao

et al. 2021

Communications in Computer and Information Science

View full text Add to dashboard Cite

Application of computational intelligence techniques for internet of things: an extensive survey

Cited by 13 publications

References 0 publications

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

Law, Socio-Legal Governance, the Internet of Things, and Industry 4.0: A Middle-Out/Inside-Out Approach

EERO: Energy Efficient Route Optimization Technique for IoT Network

Contact Info

Product

Resources

About