An energy efficient IPv6 packet delivery scheme for industrial IoT over G.9959 protocol based Wireless Sensor Network (WSN)

Kumar, Shishupal; Lal, Nidhi; Chaurasiya, Vijay Kumar

doi:10.1016/j.comnet.2019.03.001

Cited by 15 publications

(8 citation statements)

References 19 publications

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“…To precisely assess the model, a comprehensive comparison between the simulation and testbed results is performed. By focusing on the quality of service (QoS) [10], [11], the model provides an extensive set of scenarios (128 distinct scenarios: 64 in the simulation environment and 64 in the testbed environment). The primary purpose is to validate the model and analyze the effects that IPv6-only protocol has on LTE and 802.11ac networks compared to IPv4-only.…”

Section: )mentioning

confidence: 99%

IPv6 Transition Measurements in LTE and VHT Wi-Fi Mobile Networks

Mina

2019

IEEE Access

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Full digital connectivity of the Internet of Things (IoT) devices demands several requirements including high-speed networks and a large number of IP addresses. The long term evolution (LTE) and very high throughput (VHT) 802.11ac networks are among the alternatives that can fulfill the speed requirements. To provide a large number of IP addresses, in addition to IPv4, LTE and 802.11ac also support IPv6. However, while the full digital connectivity cannot be fulfilled by IPv4 due to its limited address space and failure to support the scalability of the IoT applications, another major problem is that the potential benefits of IPv6 for LTE and 802.11ac mobile networks are completely ambiguous. The issue is further increased along with the design complexities inherent in LTE and 802.11ac infrastructures. Therefore, there are increasing concerns for cellular carriers and mobile service providers regarding migration to IPv6-only and whether the users in LTE-IPv6-only and 802.11ac-IPv6-only networks can achieve better performance than IPv4. To address the challenges associated with deploying IPv6-only in LTE and 802.11ac networks and quantify the performance, this work proposes a model. The model consists of a simulation environment with four distinct networks: LTE-IPv6-only, LTE-IPv4-only, 802.11ac-IPv6-only, and 802.11ac-IPv4-only. The model is further extended by setting up a real-world testbed environment to include four networks for replication of those simulations. To assure the most comprehensive environmental evaluation of the model, 128 distinct scenarios are developed and implemented, and the results are obtained in terms of quality of service parameters. The testbed results are compared to those of simulations to precisely assess the model. INDEX TERMS LTE, VHT, IPv6, QoS, Internet-of-Things (IoT).

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Section: )mentioning

confidence: 99%

IPv6 Transition Measurements in LTE and VHT Wi-Fi Mobile Networks

Mina

2019

IEEE Access

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“…Energy is an important technological challenge in IoT and in-depth research is required to develop systems that can save energy during the operational environment [ 25 , 26 ]. IoT needs ways to minimize the energy spent on communication and computing.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees

Uppal

Gupta

Juneja

et al. 2021

Journal of Healthcare Engineering

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The novel paradigm of Internet of Things (IoT) is gaining recognition in the numerous scenarios promoting the pervasive presence of smart things around us through its application in various areas of society, which includes transportation, healthcare, industries, and agriculture. One more such application is in the smart office to monitor the health of devices via machine learning (ML) that makes the equipment more efficient by allowing real-time monitoring of their health. It guarantees indoor comfort as per the user’s satisfaction as it emphasizes on fault prediction in real-life devices. Early identification of various types of faults in IoT devices is the key requirement in smart offices. IoT devices are becoming ubiquitous and provide an assistant to supervise an office that is regulated by ML and data received from sensors is stored in cloud. A recommender system facilitates the selection of an appropriate solution for faults in IoT-enabled devices to mitigate faults. The architecture proposed in this paper is used to monitor each and every office appliance connected via IoT technology using ML technique, and recommender system is used to recommend solutions for fault patterns without much human intervention. The ultrasonic motion sensor is used to fetch the information of employee availability in cubicles and data is sent to the cloud through the WiFi module. ATmega8 is used to control electrical appliances in the office environment. The significance of this work is to forecast the faults in IoT appliances which will have an impact on life and reliability of IoT appliances. The main objective is to design a prototype of a smart office using IoT that can control and automate workplace devices and forecast whether the device needs repairing or replacing, thus reducing the overall burden on the employee and helping out in increasing physical as well as mental health of the person.

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“…Kumar et al 42 have presented low energy consumption IPv6 packet delivery mode for industrial IoT over WSN based on G.9959 protocol. The G.9959 protocol is used for industrial Internet of Things.…”

Section: Literature Surveymentioning

confidence: 99%

Real time flood disaster monitoring based on energy efficient ensemble clustering mechanism in wireless sensor network

Wilson

Radhamani²

2021

Softw Pract Exp

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In this article, energy efficient ensemble clustering method (EECM) with black widow optimization (EECM‐BWO) algorithm is proposed for effective data transmission with the help of real time flood disaster monitoring wireless sensor network (WSN). Initially, unified scalable ensemble clustering algorithm based on ensemble generation and consensus function is proposed for selecting the optimal routing path among the node using BWO algorithm. Then, biologically inspired routing black widow spiders optimization algorithm is proposed to trade off the nodes energy level, self‐organization, and self‐configuration in the WSN. The simulation is performed using NS2 simulator for validating the performance of the proposed EECM‐BWO method. Here, in node, low delay achieves 24.07%, 72.58%, 51.36%, 81.75%, 77.74%, high packet delivery ratio achieves 70.83%, 53.93%, 90.23%, 43.58%, 24.58%, low packet drop attains 77.93%, 72.76%, 61.56%, 51.87%, 34.35%, low energy consumption attains 75.9%, 52.94%, 65.81%, 58%, 41.2% compared with existing energy‐efficient clustering approach consolidated game theory as well as dual‐cluster‐head mode for WSNs energy‐aware clustering by cuckoo optimization approach (EECM‐COA), energy‐aware clustering‐based routing using multi‐path reliable transmission with routing and control board (EECM‐RCB‐MRT), adaptive repair algorithm with temporally ordered routing algorithms for flood control strategy (EECM‐AR‐TORA‐FCS), passive multi‐hop clustering algorithm (EECM‐PMC), dynamic source routing protocol based on genetic algorithm‐bacterial foraging optimization (DSR‐GA‐BFO).

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An energy efficient IPv6 packet delivery scheme for industrial IoT over G.9959 protocol based Wireless Sensor Network (WSN)

Cited by 15 publications

References 19 publications

IPv6 Transition Measurements in LTE and VHT Wi-Fi Mobile Networks

IPv6 Transition Measurements in LTE and VHT Wi-Fi Mobile Networks

Cloud-Based Fault Prediction Using IoT in Office Automation for Improvisation of Health of Employees

Real time flood disaster monitoring based on energy efficient ensemble clustering mechanism in wireless sensor network

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