Cross-layer model design in wireless ad hoc networks for the Internet of Things

Yang, Xin; Xie, Jian; Zhang, Zhaolin

doi:10.1371/journal.pone.0196818

Cited by 4 publications

(6 citation statements)

References 10 publications

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“…The network overhead is measured for different speed of sensors and is shown below in Fig.8 and density can be measured as the number of unique hello broadcasts received second. The network overhead increases as the speed increases, but the increase is lower in case of present work when compared to [1] and [4].…”

Section: Fig 6 Life Timementioning

confidence: 65%

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Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)

K*,

Shanmukha,

Siddappa

2019

IJRTE

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Physical characteristics limits the capability of sensor network in case of underwater deployment. Factors like medium delay, doppler spreads and limited bandwidth are challengers to achieve a QoS (Quality of Service) guarantee in under water acoustic sensor networks. Under these conditions maximizing the bandwidth availability with consideration for application traffic requirements is important. This work proposes a service differentiated QOS guaranteed cross layer solution to maximize the available bandwidth and life time of the network under the constraints of application traffic requirements. At all different layers of IEEE 802.15.4 protocol stack, i.e., Application Layer, Session Layer, Network Layer, MAC Layer, and PHY Layer, the solution uses network parametes to optimize available bandwidth and also QoS. The solution involves redundancy and prediction based content coding at application layer, QoS based rate control at session layer, load based routing, transmission range adjustment at physical layer for guaranteed QoS delivery over acoustic sensor network.

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Section: Fig 6 Life Timementioning

confidence: 65%

“…Based on wireless adhoc networks a cross layer transmission model for IoT was proposed by author [1]. In physical layer it applied a decentralized coded caching and at media access control layer a content division multiplexing.…”

Section: B Cross Layer Solutionsmentioning

confidence: 99%

Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)

K*,

Shanmukha,

Siddappa

2019

IJRTE

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“…The higher throughput is attributed to shorter hop for the travel of packet from node to sink. The proposed solution has lower delay than [1] and [19]. The reduction in delay is faster propagation within and across clusters.…”

Section: Resultsmentioning

confidence: 93%

“…Simulation was conducted with following parameters The proposed solution is compared with two other cross layer architectures proposed in [1] and [19] and detailed in survey. We measured following parameters The proposed solution has higher throughput than [1] and [19]. The higher throughput is attributed to shorter hop for the travel of packet from node to sink.…”

Section: Resultsmentioning

confidence: 99%

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Energy Efficient QoS guaranteed Cross Layer Solution (EEQCL) for Mesh Backbone IOT Networks

2019

IJRTE

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IOT enables devices to be managed and monitored anywhere from internet. With IOT gaining popularity, billions of devices are connected to internet and they are being used for many applications like home automation, public safety, smart city, traffic monitoring etc. IOT interconnectivity to internet based on mesh network is the most used topology due to effectiveness in scalability and reliability. The mesh network must be optimized in terms of QOS, energy efficiency for the case of nature of traffic from IOT devices. Towards this end, this work proposes an energy efficient QOS guaranteed cross layer solution for mesh backbone based IOT network. The proposed cross layer solution applies changes at Application, session, network layer to achiness a better QOS and energy efficiency than existing solutions discussed in literature.

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Process of Creating an Integrated Design and Manufacturing Environment as Part of the Structure of Industry 4.0

et al. 2020

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This paper presents the process for creating an integrated design and manufacturing environment supporting 3D printing as part of the structure of Industry 4.0. This process is based on a developed framework for the design of modern automated and computerized infrastructure. The task of the described system is to combine all the steps included in the operating range of incremental systems based on an IT platform by integrating data from individual areas, such as IT systems supporting remote 3D printing. The proposed framework for incremental processes is a universal solution that can be defined in detail by a single organizational unit running 3D printing, as well as by a cluster of entities related to 3D printing. In the initial phase, the framework design includes a set of guidelines for IT (Information Technology) systems that facilitate the construction of individual elements and the creation of communication interfaces. In subsequent stages, the framework may already implement elements of the access and communication program interface, as well as guidelines for the industrial components to be included. The proposed framework for additive technologies is based on modern IT tools that enable the creation of geographically and functionally possible prototyping systems that can be integrated into the structure of Industry 4.0. To create optimal processes and economic systems, the principles of the construction and integration of individual services and equipment were developed. This new comprehensive approach is proposed in the present paper as a coherent framework. Moreover, the proposed solution has great potential for use in the design and production processes of various industries, such as chemicals, materials and construction.

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Cross-layer model design in wireless ad hoc networks for the Internet of Things

Cited by 4 publications

References 10 publications

Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)

Service Differentiated QOS Guaranteed Cross Layer Solution for Underwater Acoustic Sensor Networks (SD-QCLS)

Energy Efficient QoS guaranteed Cross Layer Solution (EEQCL) for Mesh Backbone IOT Networks

Process of Creating an Integrated Design and Manufacturing Environment as Part of the Structure of Industry 4.0

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