A Novel Approach for Efficient Management of Data Lifespan of IoT Devices

Asiri, Mohammed Yahya; Sheltami, Tarek R.; Al-Awami, Louai; Yasar, Ansar-Ul-Haque

doi:10.1109/jiot.2019.2955099

Cited by 11 publications

(2 citation statements)

References 26 publications

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“…The authors in [28] improved network lifetime by using Adaptive MAC along with artificial intelligence to improve duty cycle when compared with conventional algorithms. Internet of Thing utilizes wireless sensor networks as data-driven networks considering the improvement of network parameters such as latency, throughput, efficient energy utilization [28] Reliable information of the transmission is one of the principal vital roles in a resource-constrained environment. The MAC-based ZigBee protocol for data transmission using data survivability with an energy efficiency scheme that improves energy effectively compared with the traditional algorithms is discussed.…”

Section: Related Workmentioning

confidence: 99%

An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

et al. 2021

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Artificial I ntelligence-based Q uorum s ystems a re used to solve the energy crisis in real-time wireless sensor networks. They tend to improve the coverage, connectivity, latency, and lifespan of the networks where millions of sensor nodes need to be deployed in a smart grid system. The reality is that sensors may consume more power and reduce the lifetime of the network. This paper proposes a quorum-based grid system where the number of sensors in the quorum is increased without actually increasing quorums themselves, leading to improvements in throughput and latency by 14.23%. The proposed artificial intelligence scheme reduces the network latency due to an increase in time slots over conventional algorithms previously proposed. Secondly, energy consumption is reduced by weighted load balancing, improving the network's actual lifespan. Our experimental results show that the coverage rate is increased on an average of 11% over the conventional Coverage Contribution Area (CCA), Partial Coverage with Learning Automata (PCLA), and Probabilistic Coverage Protocol (PCP) protocols respectively.

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Section: Related Workmentioning

confidence: 99%

An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

et al. 2021

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“…9, No. 2,2021 Published Online 13-4 -2021 ISSN (Print): 2204-0595 ISSN (Online): 2203-1731 devices and items with the cloud. Wireless Sensor Networks is a mechanism that collects and communicates data for monitoring and controlling the objective world to ensure better lifestyles [20].…”

mentioning

confidence: 99%

A Comprehensive Review of Energy-Based Routing Strategies for Internet of Things

Srinivasulu¹

2021

ITII

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IoT is the acronym for Internet of Things acronym. At present IoT is a buzzword amongst academia, research and industry communities. Everything surrounded by us have developed abilities to communicate via the medium of internet. The Routing information plays a vital role in establishing communication between nodes in the space of IoT. Maximum energy of such connected nodes is consumed in the process of routing the packets. In this context optimizing the network lifetime with minimal energy consumption becomes important for efficient implementation of IoT infrastructure. This literature review is has the objective to identify the limitations existing in improving the network usability and thus enhance the network lifetime. The focus of this review is to consider various parameters like Quality of Service (QoS), efficient node deployment techniques, Network lifetime for Wireless Sensor Networks (WSN). A comprehensive and systematic study of Routing challenges encountered in an IoT network is accomplished. Further the performance of various energy routing protocols are studied.

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A Self-learning Clustering Protocol in Wireless Sensor Networks for IoT Applications

Nguyen

Vozňák

et al. 2021

Advances in Intelligent Networking and Collaborative Systems

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A Novel Approach for Efficient Management of Data Lifespan of IoT Devices

Cited by 11 publications

References 26 publications

An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

An Artificial Intelligence-Based Quorum System for the Improvement of the Lifespan of Sensor Networks

A Comprehensive Review of Energy-Based Routing Strategies for Internet of Things

A Self-learning Clustering Protocol in Wireless Sensor Networks for IoT Applications

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