An efficient data collection and dissemination for IOT based WSN

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

doi:10.1109/iemcon.2016.7746084

Cited by 35 publications

(22 citation statements)

References 10 publications

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“…For IoT, the microcontrollers are integrated with processors, wireless chips and other components to form the Prototyping Development Kit through embedded software packages with reprogramming capability. Other studies, as in this future research, employ Arduino hardware since it is an open-source device for controlling a large number of sensors rather than personal computers [17]. Briefly, Arduino has the capability to be registered based on the microcontroller board and the programming composer of the board.…”

Section: Iot Hardware / Prototypementioning

confidence: 99%

“…In the prior work of Raza, [17], the purpose of this work is to explore the complex interactions between application features and adaptive mechanisms across the network stack by using specific real-world deployments. Moreover, the paper proposed a generic framework that integrates adaptation into near-optimal energy efficiency for heterogeneous applications.…”

Section: G Energy Saving Techniques In Wsnmentioning

confidence: 99%

“…In recent work of Alduais et al [17], the authors have strategized to diminish the number of information transmissions and lessen the measure of information that prompts an all-encompassing system lifetime. The proposed strategy intends to diminish the number of transmitted messages by means of hubs supporting single and different sensors depending on the relative or relative contrasts between the transmitted present and last sensor estimations.…”

Section: G Energy Saving Techniques In Wsnmentioning

confidence: 99%

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

Kadhim¹,

Wahid²

2020

IJACSA

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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.

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Section: Iot Hardware / Prototypementioning

confidence: 99%

Section: G Energy Saving Techniques In Wsnmentioning

confidence: 99%

Section: G Energy Saving Techniques In Wsnmentioning

confidence: 99%

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

Kadhim¹,

Wahid²

2020

IJACSA

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“…Energy-efficient data gathering in IoT systems was examined in [20][21][22][23][24][25]. Rani et al [20] proposed a multitier framework, in which the nodes in each tier are responsible for collecting the data of the lower one.…”

Section: Related Workmentioning

confidence: 99%

Reliable data gathering in the Internet of Things using artificial bee colony

Najjar-Ghabel¹,

Yousefi²,

Farzinvash³

2018

Turk J Elec Eng & Comp Sci

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The Internet of Things (IoT) technology enables physical devices to communicate with each other for preparing, gathering, and sharing hazard warnings or critical information without human intervention. With respect to emergency applications of IoT technology, an essential issue is to provide an efficient and robust scheme for data gathering. The proposed solution in the existing approaches is to construct a spanning tree over the IoT devices and collect data using the tree. The shortcoming of these algorithms is that they do not take into account the probability of device mobility or failure. In such cases, the spanning tree is split, and it becomes impossible to deliver critical data to the base station on time. In this paper, we propose a reliable spanning tree construction algorithm, which is called reliable spanning tree construction in IoT (RST-IoT). Our algorithm utilizes the artificial bee colony algorithm to generate proper trees. In this method, hop count distances of the devices from the base station, residual energies of the devices, and their mobility probabilities are considered to measure the appropriateness of the trees. Moreover, the proposed algorithm generates a number of trees instead of a single one. These trees are arranged according to their preferences and used for data gathering in succession. Each tree is employed for data gathering upon splitting the preceding one. The simulation results show that RST-IoT improves the reliability of data gathering in emergency applications compared to the previous approaches. IntroductionThe Internet of Things (IoT) is a novel paradigm that considers the interaction of smart things. The main idea of IoT is that smart things or objects, such as sensors, actuators, smart phones, and RFID tags, are spread everywhere ubiquitously. These devices have interactions with each other and are able to collect and exchange data. The IoT paradigm covers a broad range of applications, comprising environmental monitoring [1, 2], transportation services, smart cities [3], emergency situation explorers, and industrial processes controllers [4].Reliable data gathering is an important issue to support emergency applications under IoT technology. The devices send the critical information to the base station for processing and decision making. Furthermore, the base station sends some commands to the devices under its control [5,6]. Transferring important data over the network requires a reliable backbone. The common approach for data gathering in IoT systems is to construct a spanning tree over the available devices [7][8][9][10][11]. The drawback of the existing algorithms is the unreliability of their generated trees. This shortcoming is mostly due to their failure in considering the characteristics of IoT devices. These devices are usually mobile and equipped with low-power batteries. Therefore, it is possible that the spanning tree is split because of the mobility of some devices or their energy exhaustion.

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“…In the paper, a 200-sensor-node WSN was used to show that the proposed NHCRF method can deliver excellent and effective results for WSN-health diagnosis.The study also presented thorough comparative results that indicate that method can deliver superior classification performance compared with other methods. Alduais et al (2016) proposed a method to reduce the number of data transmissions as well as decrease the amount of data that will result in prolonging the lifetime of the network. The proposed method aimed to reduce the number of transmitted messages via a node supporting single and multiple sensors based on the relative change or relative differences between the current and last sensor measured values transmitted.…”

Section: Literature Surveymentioning

confidence: 99%

DMS Implications for Universities

Bresfelean

Mocean

Urean

2017

IJCT

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Organizations have long been struggling with the large amount of paper documents to be effectively administered, stored and organized so as to allow their easy and fast retrieval. Furthermore, energy and paper costs, security, destruction or loss and the volume of space occupied by numerous documents, folders and cabinets are also challenging problems. Digitization of paper documents and Document Management Systems (DMS) emerged as a solution to these issues with numerous advantages (eco-friendly, decreased operational costs, increased productivity, better and fast service etc.) leading to more efficient organization processes. Cloud storage and applications are an up-to-date approach with lower costs for higher education institutions, which aspire to enhance their documents and records management from creation throughout their whole lifecycle (store, capture, distribute, retrieve). While knowledge management (KM) has a demanding mission in higher education institutions, ontologies are another novel ground for document management applications in education. This paper is an extended version of our latest research study [4] and aims to extend our universityâ€™s existing applications to a multifaceted Document Management System-as-a-Service (DMSaaS) with many benefits for the institution, where records and documents are to be managed based on novel technologies. DMSaaS can address the issues related to cost, environment, space, security, operability better than a classic DMS.

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An efficient data collection and dissemination for IOT based WSN

Cited by 35 publications

References 10 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

Reliable data gathering in the Internet of Things using artificial bee colony

DMS Implications for Universities

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