scholarly journals Energy Aware and Quality of Service Routing Mechanism for Hybrid Internet of Things Network

Computers ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 93
Author(s):  
Eyassu Dilla Diratie ◽  
Durga Prasad Sharma ◽  
Khaldoun Al Agha
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Ieee 802.11 ◽  
Video Surveillance ◽  
Sensor Nodes ◽  
Energy Aware ◽  
Visual Sensor ◽  
Routing Mechanism

Wireless Multimedia Sensor Networks (WMSNs) based on IEEE 802.11 mesh networks are effective and suitable solutions for video surveillance systems in detecting intrusions in selected monitored areas. The IEEE 802.11-based WMSNs offer high bit rate video transmissions but are challenged by energy inefficiency issues and concerns. To resolve the energy inefficiency challenges, the salient research studies proposed a hybrid architecture. This newly evolved architecture is based on the integration of IEEE 802.11-based mesh WMSNs along with the LoRa network to form an autonomous and high bitrate, energy-efficient video surveillance system. This paper proposes an energy-aware and Quality of Service (QoS) routing mechanism for mesh-connected visual sensor nodes in a hybrid Internet of Things (IoT) network. The routing algorithm allows routing a set of video streams with guaranteed bandwidth and limited delay using as few visual sensor nodes as possible in the network. The remaining idle visual sensor nodes can be turned off completely, and thus it can significantly minimize the overall energy consumption of the network. The proposed algorithm is numerically simulated, and the results show that the proposed approach can help in saving a significant amount of energy consumption while guaranteeing bandwidth and limited delay.

scholarly journals Adaptive Resource Allocation and Provisioning in Multi-Service Cloud Environments

2019 ◽  
pp. 372-381
Author(s):  
Anitha Nithya R ◽  
Saran A ◽  
Vinoth R
Keyword(s):  
Resource Allocation ◽  
Quality Of Service ◽  
Energy Consumption ◽  
Energy Aware ◽  
Research Issues ◽  
Allocation Policy ◽  
Fine Grained ◽  
Policy Problem ◽  
Machine Allocation

Minimizing the energy consumption and resource usage in cloud computing environment is one of the key research issues. Energy aware resource allocation is used to optimize the power consuming by computer resources and storage in cloud. The proposed system is to improve the utilization of computing resources and reduce energy consumption under workload independent quality of service constraints. Using migration for minimizing the number of active physical nodes the dynamic single threshold VM consolidation leverages fine-grained fluctuations in the workloads and continuously reallocates VMs . A genetic algorithm based power-aware scheduling of resource allocation (G-PARS) has been proposed to solve the dynamic virtual machine allocation policy problem. The experiment results show that strategy that has been proposed has a better performance than other strategies, not only in high Quality Of Service(QoS) but also in less energy consumption.

Extending Lifetime of Biomedical Wireless Sensor Networks using Energy-Aware Routing and Relay Nodes

2014 ◽  
Vol 5 (4) ◽  
pp. 39-51
Author(s):  
Carlos Abreu ◽  
P. M. Mendes
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Relay Nodes ◽  
Energy Aware Routing

Biomedical wireless sensor networks are a key technology to enable the development of new healthcare services and/or applications, reducing costs and improving the citizen's quality of life. However, since they deal with health data, such networks should implement mechanisms to enforce high levels of quality of service. In most cases, the sensor nodes that form such networks are small and battery powered, and these extra quality of service mechanisms mean significant lifetime reduction due to the extra energy consumption. The network lifetime is thus a relevant feature to ensure the necessary quality of service requirements. In order to maximise the network lifetime, and its ability to offer the required quality of service, new strategies are needed to increase the energy efficiency, and balance in the network. The focus of this work goes to the effective use of the available energy in each node, combined with information about the reliability of the wireless links, as a metric to form reliable and energy-aware routes throughout the network. This paper present and discusses two different deployment strategies using energy-aware routing and relay nodes, assessed for different logical topologies. The authors' conclusion is that the use of energy-aware routing combined with strategic placed relay nodes my increase the network lifetime as high as 45%.

scholarly journals Dynamic Energy Aware Gur Game based Algorithms for Self Optimizing Wireless Sensor Networks

2013 ◽  
Vol 4 (3) ◽  
pp. 776-787
Author(s):  
Nitin Nitin
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Coverage Area

This paper presents, Application of Gur Game Based Algorithm on Wireless Sensor Networks (WSNs) deployed to monitor Homogenous and Heterogeneous Grid in order to achieve Quality of Service (QoS) = 0.40 and 0.50. Further, the objectives of all these algorithms are to maximize the coverage of the sensor area while conserving energy consumed by sensor nodes. This is achieved via carefully activating/deactivating the sensors while maximizing the coverage area.

scholarly journals A Trust Aware Based Predictive Model using Hybrid Convolutional Neural Network for Mobile AD HOC Network in Internet of Things

2019 ◽  
Vol 9 (1) ◽  
pp. 1276-1285
Keyword(s):  
Neural Network ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Convolutional Neural Network ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Sensor Nodes ◽  
Packet Dropping ◽  
Routing Mechanism ◽  
Mobile Ad Hoc

Mobile ad-hoc networks (MANETs) are inescapable independent Wireless Sensor Networks (WSNs) that will assume a fundamental job in upcoming trends of Internet-of-Things (IoT) communication, somewhere sharp-witted gadgets will a tendency to associated in a totally scattered manner. The IoT is a type of wireless heterogeneous network of different types such as WSNs, MANETs, Zig-Bee, WI-FI, and RFID. So a trust based routing in MANET based IoT network is a difficult task for better Device to Device (D-2-D) communication. Be that as it may, because of the absence of framework and the nonappearance of concentrated administration in MANETs, networks are covered with different security threats. Some inward mobile sensor nodes in these positive feature based obliged wireless networks may bargain the routing mechanism in order to attacks to do unmistakable sorts of the data packet sending mischievous activities. Methods: In order to address this type of IoT communication issue, in our previous research paper, we devised a routing protocol in IoT based on the secure and energy efficient trust aware approach using the Particle swarm based (PSO) Optimized Artificial Neural Network (ANN), it is used to classify the packet dropping adversaries before the transmission by supervising the intermediates communicating sensor nodes nature to discover route and their maintenance period. But the achieved result should be better by using the concept of Convolutional Neural Network (CNN) with PSO instead of ANN. In this paper, we perform sensitivity analysis of IoT communication using Secure and Energy Efficient Trust Aware (SEETA) routing mechanism with PSO based optimized CNN and it is used to identify the unlike parameters variation in distinctive scenarios in the existence of data packet dropping attacks or malicious nodes. Also the proposed work recapitulates the trusted route discovery mechanism with their maintenance process where routing is based on our existing SEETA protocol with the purpose of countering the certain attack or malicious patterns along with optimized CNN. Results: Simulation is conducted with MATLAB based network simulator which indicates the correct choices of parameter values for proposed IoT network scenarios. When the QoS constraints of IoT network is calculated and compared with various existing approaches, the proposed PSO based CNN with SEETA routing mechanism achieves the better performance of 99.31% in terms of data delivery rate with reduction of 16.76% in energy consumption rate as compare to exiting works. Conclusion: During simulation of proposed IoT network based on different network conditions, we observed that the achieved performance is best in terms of Energy Consumption with Throughput and Loss Rate. After that we also obtained the achieved transmission delay is less and Alive Nodes Count is more with maximum Detection Rate.

Performance study and critical review on energy aware routing protocols in mobile sink based WSNs

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Aparna Ashok Kamble ◽  
Balaji Madhavrao Patil
Keyword(s):  
Wireless Networks ◽  
Energy Consumption ◽  
Routing Protocols ◽  
Mobile Sink ◽  
Sensor Nodes ◽  
Delivery Ratio ◽  
Optimization Approach ◽  
Performance Study ◽  
Energy Aware ◽  
Energy Aware Routing

Abstract Wireless networks involve spatially extended independent sensor nodes, and it is associated with each other’s to preserve and identify physical and environmental conditions of the particular application. The sensor nodes batteries are equipped with restricted energy for working with an energy source. Consequently, efficient energy consumption is themain important challenge in wireless networks, and it is outfitted witharestricted power storage capacity battery. Therefore, routing protocol with energy efficiency is essential in wireless sensor network (WSN) to offer data transmission and connectivity with less energy consumption. As a result, the routing scheme is the main factor for decreasing energy consumption and the network's lifetime. The energy-aware routing model is mainly devised for WSN with high network performance when transmitting data to a sink node. Hence, in this paper, the effectiveness of energy-aware routing protocols in mobile sink-based WSNs is analyzed and justified. Some energy-aware routing systems in mobile sink-based WSN techniques, such as optimizing low-energy adaptive clustering hierarchy (LEACH) clustering approach, hybrid model using fuzzy logic, and mobile sink. The fuzzy TOPSIS-based cluster head selection (CHS) technique, mobile sink-based energy-efficient CHS model, and hybrid Harris Hawk-Salp Swarm (HH-SS) optimization approach are taken for the simulation process. Additionally, the analytical study is executed using various conditions, like simulation, cluster size, nodes, mobile sink speed, and rounds. Moreover, the performance of existing methods is evaluated using various parameters, namely alive node, residual energy, delay, and packet delivery ratio (PDR).

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