RDCM: An Efficient Real-Time Data Collection Model for IoT/WSN Edge With Multivariate Sensors

Alduais, Nayef Abdulwahab Mohammed; Abdullah, Jiwa; Jamil, Ansar

doi:10.1109/access.2019.2926209

Cited by 24 publications

(17 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Up to our knowledge, there are a large number of published papers have proposed different kinds of solutions to overcome this drawback. Recently, it has been proposed to use energy harvesting technology and wireless charging technology to provide sustainable energy resources [16].…”

Section: Overview Of Iot Sensor Nodesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

Kadhim¹,

Wahid²

2020

IJACSA

View full text Add to dashboard Cite

Today, Wireless Sensor Network (WSN) has become an enabler technology for the Internet of Things (IoT) applications. The emergence of various applications has then enabled the need for robust and efficient data collection and transfer algorithms. This paper presents a comprehensive review for the existing data gathering algorithms and the technologies adopted for that applications. After reviewing the algorithms and the challenges related to them, which extend the physical reach of the monitoring capability; they possess several constraints such as limited energy availability, low memory size, and low processing speed, which are the principal obstacles to designing efficient management protocols for WSN-IoT integration.

show abstract

Section: Overview Of Iot Sensor Nodesmentioning

confidence: 99%

“…This chip operates at 16 MHz with an 8-bit, but it has limited and has limited accessible memory (32 Kbytes of capacity) and 2 Kbytes of irregular access memory. Due to this Atmel chip, Arduino became popular for work especially for many DIY applications [16].…”

Section: Iot Hardware / Prototypementioning

confidence: 99%

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

Kadhim¹,

Wahid²

2020

IJACSA

View full text Add to dashboard Cite

show abstract

“…If d is the time required for computing a single hash and dt is the time for transmission, then the delivery time required is (dt + dp) * (m − 1), considering dp is the processing delay. 26 In the proposed DSSF, the (m − 1) links are reduced to (m − x), x ∈ h r for the request generated and the hash of h(R) is verified at the devices satisfying Equation (4) in both TS and (TS + 1) intervals. Therefore, the delay is reduced to (dt + dp) * (m − 1)(m − x) < (m − 1) in all the transactions.…”

Section: End-to-end Analysismentioning

confidence: 99%

“…Let the devices between the SP and EU be “m” such that (m‐1) links are present and, hence, the hash is generated for (m‐1) link connected neighbors. If d is the time required for computing a single hash and dt is the time for transmission, then the delivery time required is ( dt + dp ) * ( m − 1), considering dp is the processing delay 26 . In the proposed DSSF, the ( m − 1) links are reduced to ( m − x ), x ∈ h r for the request generated and the hash of h ( R ) is verified at the devices satisfying Equation in both TS and ( TS + 1) intervals.…”

Section: Performance Analysismentioning

confidence: 99%

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

Sheron

Sridhar

Baskar

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The development of Internet of Things (IoT) has granted multiple interoperable features for user to digital things communication. The future communication technology and service provisioning in IoT is large scaling an open environment. The large scale IoT environment is supported by sensor network and independent nodes. The intelligent computing, storage, and computation features of the nodes are inherited by the IoT paradigm for its application and service support. In such an open environment, security is a prominent issue that must be administered in a decentralized manner. In this manuscript, a decentralized and scalable security framework for future IoT is designed. This framework exploits the advantages of intelligent computing and tree-based hash for device and request authentication to provide device-to-device security. The tree-based hash is used for authenticating requests and the central authority-based security feature of the framework provides device level security, ensuring better privacy and integrity in communications. The experimental analysis of the proposed security framework is analyzed in terms of detection rate, communication loss, disconnection ratio, and delay. 1 INTRODUCTION Internet of Things (IoT) has emerged as an advanced technology in the recent years of communication field incorporating diverse networks, applications, and services. The concept of IoT is to integrate communicating "things" and human users as a single entity through digital medium. It is capable of visualizing real-time components, data, and information as a digital perspective for distributed access, communication, and sharing. 1 Heterogeneous networks, long-and short-range communication infrastructures, multilevel protocols, applications, and services are present in IoT for pervasive access. This eases interaction between devices, data sharing, uninterrupted communication, resource management, storage, and access for end-users demanding reliable service quality. 2 End-users initiate queries through requests that are processed at different IoT platforms including cloud and gateways. Distributed resources are migrated toward end-user devices through applications boasted for services. Extended network functions such as complex computations, system analysis, storage, and retrieval are performed with the support of heterogeneous service providers. A notable heterogeneous service provider is cloud platform that is capable of strengthening the ubiquitous access and multilevel device interaction of the end-users. 3 The "things" connected in an IoT environment includes short range static devices such as RFIDs to mobile smart devices such as IoT vehicles. The smart nature of the devices is exploited by augmenting sensor-based battery powered circuits that serves the communication purpose. With the equipped electronic circuits, the device is capable of participating in external communication and joining heterogeneous network. Wireless sensor network (WSN) is a renowned technology

show abstract

“…Wireless sensor networks (WSNs) are regarded as the key technology for IoT due to monitoring, processing, and transmitting data collected from a specific environment. 1 Various applications, including smart homes, military, healthcare, and industrial, rely on WSN-based IoT. With the help of spatially distributed numerous sensor nodes having tiny and limited resources, WSNs disseminate sensed data through a central device for further analysis.…”

Section: Introductionmentioning

confidence: 99%

A fully distributed energy‐aware multi‐level clustering and routing for WSN‐based IoT

Abasıkeleş‐Turgut

Altan

2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

One of the major problems in wireless sensor networks (WSNs) is that resource-constrained sensor nodes consume their limited batteries quickly due to long-distance data communications. The communication distance of the nodes can be decreased using clustering architectures and multi-hop data transmissions; hence, the lifetime of the network can be increased. In this study, two-level intra-cluster and multi-level inter-cluster communication are proposed. The coverage area of the second-level clusters is dynamically determined according to the distance of cluster heads to the BS. Self-organized nodes in the network designate the clustering ranges, the clusters, and the cluster heads without a central control mechanism using a fully distributed approach. Moreover, with the help of static clustering, the control messages generated by the system are decreased. The proposed approach, FDEAM, is compared with recent approaches in terms of the network lifetime, network energy consumption, cluster head alteration frequency, dead parent statistics, and data collection.The results show that FDEAM outperforms state-of-the-art approaches for all performance metrics.

show abstract

RDCM: An Efficient Real-Time Data Collection Model for IoT/WSN Edge With Multivariate Sensors

Cited by 24 publications

References 45 publications

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

A Review of Data Gathering Algorithms for Real-Time Processing in Internet of Things Environment

A decentralized scalable security framework for end‐to‐end authentication of future IoT communication

A fully distributed energy‐aware multi‐level clustering and routing for WSN‐based IoT

Contact Info

Product

Resources

About