scholarly journals An Integrated Heterogeneous Smart Agriculture System

2019 ◽  
Vol 8 (4) ◽  
pp. 7562-7564
Keyword(s):  
Energy Consumption ◽  
Thermal Imaging ◽  
Energy Efficient ◽  
Wireless Sensors ◽  
Fog Computing ◽  
Irrigation Scheduling ◽  
Integrated System ◽  
Cloud Server ◽  
Smart Agriculture ◽  
Agricultural Regions

It is very essential to use smart agriculture in present days. This will solve various issues occur in agriculture. With Internet of Things (IoT), wireless sensors and fog computing an integrated system providing the smart agriculture is running in present villages. Various issues are identified on this smart agriculture. Parameters such as irrigation scheduling and inefficient utilization of water resources are two of several ubiquitous parameters restricting production in many agricultural regions. To solve these issues, energy consumption of the sensors plays major role to send and receive the data on various parameters. In this paper, an integrated energy efficient sensors by using thermal imaging to maintain the constant data flow from sensors to fog and cloud server.

scholarly journals Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

2020 ◽  
Author(s):  
Ademola Abidoye ◽  
Boniface Kabaso
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Fog Computing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hierarchical Routing

Abstract Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the 21st century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize energy consumption of sensor nodes so as to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called Energy-Efficient Hierarchical routing protocol for wireless sensor networks based on Fog Computing (EEHFC). Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of Things applications. In addition, we propose an improved ant colony optimization (ACO) algorithm that can be used to construct optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses and extends the network lifetime

scholarly journals Optimal Assignment of Augmented Reality Tasks for Edge-Based Variable Infrastructures

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 28
Author(s):  
Angel Cañete ◽  
Mercedes Amor ◽  
Lidia Fuentes
Keyword(s):  
Energy Consumption ◽  
Augmented Reality ◽  
Energy Efficient ◽  
Optimal Allocation ◽  
Fog Computing ◽  
Network Congestion ◽  
Feature Models ◽  
Product Lines ◽  
Software Product ◽  
Edge Based

In the last few years, the number of devices connected to the Internet has increased considerably; so has the data interchanged between these devices and the Cloud, as well as energy consumption and the risk of network congestion. The problem can be alleviated by reducing communication between Internet-of-Things devices and the Cloud. Recent paradigms, such as Edge Computing and Fog Computing, propose to move data processing tasks from the Cloud to nearby devices to where data is produced or consumed. One of the main challenges of these paradigms is to cope with the heterogeneity of the infrastructures where tasks can be offloaded. This paper presents a solution for the optimal allocation of computational tasks to edge devices, with the aim of minimizing the energy consumption of the overall application. The heterogeneity is represented and managed by using Feature Models, widely employed in Software Product Lines. Given the application and infrastructure configurations, our Optimal Tasks Assignment Framework generates the optimal task allocation and resources assignment. The resultant deployment represents the most energy efficient configuration at load-time, without compromising the user experience. The scalability and energy saving of the approach are evaluated in the domain of augmented reality applications.

scholarly journals A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3868 ◽  
Author(s):  
Manuel Suárez-Albela ◽  
Paula Fraga-Lamas ◽  
Tiago Fernández-Caramés
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Fog Computing ◽  
Transport Layer ◽  
Security Level ◽  
Sensors And Actuators ◽  
Computing Paradigm ◽  
Data Throughput ◽  
High Security ◽  
On Chip

The latest Internet of Things (IoT) edge-centric architectures allow for unburdening higher layers from part of their computational and data processing requirements. In the specific case of fog computing systems, they reduce greatly the requirements of cloud-centric systems by processing in fog gateways part of the data generated by end devices, thus providing services that were previously offered by a remote cloud. Thanks to recent advances in System-on-Chip (SoC) energy efficiency, it is currently possible to create IoT end devices with enough computational power to process the data generated by their sensors and actuators while providing complex services, which in recent years derived into the development of the mist computing paradigm. To allow mist computing nodes to provide the previously mentioned benefits and guarantee the same level of security as in other architectures, end-to-end standard security mechanisms need to be implemented. In this paper, a high-security energy-efficient fog and mist computing architecture and a testbed are presented and evaluated. The testbed makes use of Transport Layer Security (TLS) 1.2 Elliptic Curve Cryptography (ECC) and Rivest-Shamir-Adleman (RSA) cipher suites (that comply with the yet to come TLS 1.3 standard requirements), which are evaluated and compared in terms of energy consumption and data throughput for a fog gateway and two mist end devices. The obtained results allow a conclusion that ECC outperforms RSA in both energy consumption and data throughput for all the tested security levels. Moreover, the importance of selecting a proper ECC curve is demonstrated, showing that, for the tested devices, some curves present worse energy consumption and data throughput than other curves that provide a higher security level. As a result, this article not only presents a novel mist computing testbed, but also provides guidelines for future researchers to find out efficient and secure implementations for advanced IoT devices.

scholarly journals Analysis and Comparison of SMAC and TMAC Protocol for Energy Efficient Dynamic Topology in Sensor Network

2016 ◽  
Vol 6 (5) ◽  
pp. 2331 ◽  
Author(s):  
Tapaswini Samant ◽  
Amlan Datta
Keyword(s):  
Energy Consumption ◽  
Wireless Communication ◽  
Energy Efficient ◽  
Wireless Sensors ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
Hidden Terminal ◽  
Dynamic Topology ◽  
Variable Transmission ◽  
Rate Dynamic

<p>In the era of wireless communication, wireless sensor is one of the best technologies we are witnessing. In case of environmental monitoring, tactical systems and different tracking applications, wireless sensors are being used. Here, the corresponding nodes operate on incomplete power and thus the energy comes into play to operate these entire networks. Managing the energy and its utilization is vital for TCP/IP protocol suite which is MAC layer’s application. Thus keeping in mind the above challenges, the techniques used are increasing the sleep duration, over hearing and ideal listening, collision of packet and eliminating hidden terminal problem. This paper is oriented towards the comparison of energy consumption by SMAC and TMAC protocol. The characteristics of TMAC and SMAC protocols were explored keeping real transmission conditions intact, like variable transmission bit rate, dynamic topology and mobile sensors in network. TMAC and SMAC protocols are contention based protocols and are designed to keep the energy consumption low using duty cycle.</p>

scholarly journals Analysis and Comparison of SMAC and TMAC Protocol for Energy Efficient Dynamic Topology in Sensor Network

2016 ◽  
Vol 6 (5) ◽  
pp. 2331 ◽  
Author(s):  
Tapaswini Samant ◽  
Amlan Datta
Keyword(s):  
Energy Consumption ◽  
Wireless Communication ◽  
Energy Efficient ◽  
Wireless Sensors ◽  
Mobile Sensors ◽  
Wireless Sensor ◽  
Hidden Terminal ◽  
Dynamic Topology ◽  
Variable Transmission ◽  
Rate Dynamic

<p>In the era of wireless communication, wireless sensor is one of the best technologies we are witnessing. In case of environmental monitoring, tactical systems and different tracking applications, wireless sensors are being used. Here, the corresponding nodes operate on incomplete power and thus the energy comes into play to operate these entire networks. Managing the energy and its utilization is vital for TCP/IP protocol suite which is MAC layer’s application. Thus keeping in mind the above challenges, the techniques used are increasing the sleep duration, over hearing and ideal listening, collision of packet and eliminating hidden terminal problem. This paper is oriented towards the comparison of energy consumption by SMAC and TMAC protocol. The characteristics of TMAC and SMAC protocols were explored keeping real transmission conditions intact, like variable transmission bit rate, dynamic topology and mobile sensors in network. TMAC and SMAC protocols are contention based protocols and are designed to keep the energy consumption low using duty cycle.</p>

scholarly journals Energy-efficient hierarchical routing in wireless sensor networks based on Fog Computing

2020 ◽  
Author(s):  
Ademola Abidoye ◽  
Boniface Kabaso
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Fog Computing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hierarchical Routing

Abstract Wireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the 21st century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize energy consumption of sensor nodes so as to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called Energy-Efficient Hierarchical routing protocol for wireless sensor networks based on Fog Computing (EEHFC). Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of Things applications. In addition, we propose an improved ant colony optimization (ACO) algorithm that can be used to construct optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses and extends the network lifetime.

scholarly journals Energy-efficient hierarchical routing in wireless sensor networks based on fog computing

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Ademola Philip Abidoye ◽  
Boniface Kabaso
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Data Transmission ◽  
Energy Efficient ◽  
Fog Computing ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Hierarchical Routing

AbstractWireless sensor networks (WSNs) have been recognized as one of the most essential technologies of the twenty-first century. The applications of WSNs are rapidly increasing in almost every sector because they can be deployed in areas where cable and power supply are difficult to use. In the literature, different methods have been proposed to minimize the energy consumption of sensor nodes to prolong WSNs utilization. In this article, we propose an efficient routing protocol for data transmission in WSNs; it is called energy-efficient hierarchical routing protocol for wireless sensor networks based on fog computing. Fog computing is integrated into the proposed scheme due to its capability to optimize the limited power source of WSNs and its ability to scale up to the requirements of the Internet of things applications. In addition, we propose an improved ant colony optimization algorithm that can be used to construct an optimal path for efficient data transmission for sensor nodes. The performance of the proposed scheme is evaluated in comparison with P-SEP, EDCF, and RABACO schemes. The results of the simulations show that the proposed approach can minimize sensor nodes’ energy consumption, data packet losses, and extends the network lifetime. We are aware that in WSNs, the certainty of the sensed data collected by a sensor node can vary due to many reasons such as environmental factors, drained energy, and hardware failures.

Network Energy Consumption Models and Energy Efficient Algorithms

2012 ◽  
Vol 35 (3) ◽  
pp. 603-615 ◽  
Author(s):  
Fa ZHANG ◽  
Antonio Fernandez Anta ◽  
Lin WANG ◽  
Chen-Ying HOU ◽  
Zhi-Yong LIU
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Efficient Algorithms

Performance Analysis of Energy Efficient Opportunistic Routing Protocols in Wireless Sensor Network

2019 ◽  
Vol 09 ◽  
Author(s):  
Premkumar Chithaluru ◽  
Rajeev Tiwari ◽  
Kamal Kumar
Keyword(s):  
Energy Consumption ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Data Communication ◽  
Opportunistic Routing ◽  
Link Quality ◽  
Delivery Ratio ◽  
Performance Parameters ◽  
Wireless Medium ◽  
Reduce Energy Consumption

Background: Energy Efficient wireless routing has been an area of research particularly to mitigate challenges surrounding performance in category of Wireless Networks. Objectives: The Opportunistic Routing (OR) technique was explored in recent times and exhibits benefits over many existing protocols and can significantly reduce energy consumption during data communication with very limited compromise on performance. Methods : Using broadcasting nature of the wireless medium, OR practices to discourse two foremost issues of variable link quality and unpredictable node agility in constrained WSNs. OR has a potential to reduce delay in order to increase the consistency of data delivery in network. Results : Various OR based routing protocols have shown varying performances. In this paper, a detailed conceptual and experimental analysis is carried out on different protocols that uses OR technique for providing more clear and definitive view on performance parameters like Message Success Rate, Packet Delivery Ratio and Energy Consumption.

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