Energy Consumption Optimization by Increasing The Processor Speed of Moving Communication Devices in Transport Layer Protocol

2019 ◽  
Vol 16 (2) ◽  
pp. 30
Author(s):  
Fakhrur Razi ◽  
Ipan Suandi ◽  
Fahmi Fahmi
Keyword(s):  
Energy Consumption ◽  
Mobile Devices ◽  
Mobile Device ◽  
Packet Loss ◽  
Video Data ◽  
Transmission Delay ◽  
Transport Layer ◽  
Tcp Protocol ◽  
Transport Layer Protocol ◽  
Processor Speed

The energy efficiency of mobile devices becomes very important, considering the development of mobile device technology starting to lead to smaller dimensions and with the higher processor speed of these mobile devices. Various studies have been conducted to grow energy-aware in hardware, middleware and application software. The step of optimizing energy consumption can be done at various layers of mobile communication network architecture. This study focuses on examining the energy consumption of mobile devices in the transport layer protocol, where the processor speed of the mobile devices used in this experiment is higher than the processor speed used in similar studies. The mobile device processor in this study has a speed of 1.5 GHz with 1 GHz RAM capacity. While in similar studies that have been carried out, mobile device processors have a speed of 369 MHz with a RAM capacity of less than 0.5 GHz. This study conducted an experiment in transmitting mobile data using TCP and UDP protocols. Because the video requires intensive delivery, so the video is the traffic that is being reviewed. Energy consumption is measured based on the amount of energy per transmission and the amount of energy per package. To complete the analysis, it can be seen the strengths and weaknesses of each protocol in the transport layer protocol, in this case the TCP and UDP protocols, also evaluated the network performance parameters such as delay and packet loss. The results showed that the UDP protocol consumes less energy and transmission delay compared to the TCP protocol. However, only about 22% of data packages can be transmitted. Therefore, the UDP protocol is only effective if the bit rate of data transmitted is close to the network speed. Conversely, despite consuming more energy and delay, the TCP protocol is able to transmit nearly 96% of data packets. On the other hand, when compared to mobile devices that have lower processor speeds, the mobile devices in this study consume more energy to transmit video data. However, transmission delay and packet loss can be suppressed. Thus, mobile devices that have higher processor speeds are able to optimize the energy consumed to improve transmission quality.Key words: energy consumption, processor, delay, packet loss, transport layer protocol

Efficient Streaming of Video Frames over Heterogeneous Wireless Network

2018 ◽  
Vol 7 (3.34) ◽  
pp. 226
Author(s):  
K Lavanya ◽  
Dr R.Kanthavel ◽  
Dr R.Dhaya
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Packet Loss ◽  
Video Data ◽  
Transport Layer ◽  
Transmission Protocol ◽  
Heterogeneous Wireless Network ◽  
Heterogeneous Environment ◽  
Video Frames

Transferring high quality video stream through a heterogeneous wireless network has many challenges due to the varying data rate and round trip time(RTT) involved in the network and the more stringent quality of service(QoS) requirements of the multimedia application such as on time delivery , minimum delay etc. User datagram protocol (UDP), a connectionless, unreliable transport protocol has been widely used for transferring video frames.UDP cannot guarantee reliable information delivery and  may lead to packet loss. The packet loss, increases with time varying bandwidth availability in the heterogeneous wireless networks. Transmission control protocol(TCP) can be an alternate transport layer protocol to provide reliable delivery of video information. But, using TCP for wireless networks has limitations due to misinterpretation of packet loss, frequent link failure, asymmetric link behaviour etc.,. which minimizes the throughput and in turn degrades the quality of the video frames transmitted. This paper analyses an efficient scheme to use Heterogeneous Environment Retransmission algorithm with SCTP (HERTS) to transfer video data in the heterogeneous environment. By using multi-homing and multi-streaming feature of Stream control transmission protocol (SCTP), the packet delivery rate, through put and delay requirements can be optimized. The transport layer model suggested in this paper aims at reducing the occupancy of the retransmitted packets in the link, by using a separate end to end path allotted for retransmission.  

scholarly journals Optimization of mobile device energy consumption in a fog-based mobile computing offloading mechanism

2021 ◽  
Vol 29 (1) ◽  
pp. 53-62
Author(s):  
Anastasia V. Daraseliya ◽  
Eduard S. Sopin
Keyword(s):  
Energy Consumption ◽  
Response Time ◽  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Applications ◽  
Optimization Problem ◽  
Fog Computing ◽  
Computing System ◽  
Battery Life ◽  
Average Response Time

The offloading of computing tasks to the fog computing system is a promising approach to reduce the response time of resource-greedy real-time mobile applications. Besides the decreasing of the response time, the offloading mechanisms may reduce the energy consumption of mobile devices. In the paper, we focused on the analysis of the energy consumption of mobile devices that use fog computing infrastructure to increase the overall system performance and to improve the battery life. We consider a three-layer computing architecture, which consists of the mobile device itself, a fog node, and a remote cloud. The tasks are processed locally or offloaded according to the threshold-based offloading criterion. We have formulated an optimization problem that minimizes the energy consumption under the constraints on the average response time and the probability that the response time is lower than a certain threshold. We also provide the numerical solution to the optimization problem and discuss the numerical results.

scholarly journals Is HTTP/2 more energy efficient than HTTP/1.1 for mobile users?

2015 ◽  
Author(s):  
Shaiful Alam Chowdhury ◽  
Varun Sapra ◽  
Abram Hindle
Keyword(s):  
Energy Consumption ◽  
Mobile Devices ◽  
Point Of View ◽  
Transport Layer ◽  
Mobile Users ◽  
Battery Life ◽  
Trip Time ◽  
Synthetic Test ◽  
Test Scenarios ◽  
Critical Resources

Recent technological advancements have enabled mobile devices to provide mobile users with substantial capability and accessibility. Energy is evidently one of the most critical resources for such devices; in spite of the substantial gain in popularity of mobile devices, such as smartphones, their utility is severely constrained by battery life. Mobile users are very interested in accessing the Internet while it is one of the most expensive operations in terms of energy and cost. HTTP/2 has been proposed and accepted as the new standard for supporting the World Wide Web. HTTP/2 is expected to offer better performance, such as reduced page load time. Consequently, from the mobile users point of view, question arises: Does HTTP/2 offer improved energy consumption performance achieving longer battery life?In this paper, we compare the energy consumption of HTTP/2 with its predecessor (i.e., HTTP/1.1) using a variety of real world and synthetic test scenarios. We also investigate how Transport Layer Security (TLS) impacts the energy consumption of the mobile devices. Our study suggests that Round Trip Time (RTT) is one of the biggest factors in deciding how advantageous is HTTP/2 compared to HTTP/1.1. We conclude that for networks with higher RTTs, HTTP/2 has better energy consumption performance than HTTP/1.1.

scholarly journals Is HTTP/2 more energy efficient than HTTP/1.1 for mobile users?

2015 ◽  
Author(s):  
Shaiful Alam Chowdhury ◽  
Varun Sapra ◽  
Abram Hindle
Keyword(s):  
Energy Consumption ◽  
Mobile Devices ◽  
Point Of View ◽  
Transport Layer ◽  
Mobile Users ◽  
Battery Life ◽  
Trip Time ◽  
Synthetic Test ◽  
Test Scenarios ◽  
Critical Resources

Recent technological advancements have enabled mobile devices to provide mobile users with substantial capability and accessibility. Energy is evidently one of the most critical resources for such devices; in spite of the substantial gain in popularity of mobile devices, such as smartphones, their utility is severely constrained by battery life. Mobile users are very interested in accessing the Internet while it is one of the most expensive operations in terms of energy and cost. HTTP/2 has been proposed and accepted as the new standard for supporting the World Wide Web. HTTP/2 is expected to offer better performance, such as reduced page load time. Consequently, from the mobile users point of view, question arises: Does HTTP/2 offer improved energy consumption performance achieving longer battery life?In this paper, we compare the energy consumption of HTTP/2 with its predecessor (i.e., HTTP/1.1) using a variety of real world and synthetic test scenarios. We also investigate how Transport Layer Security (TLS) impacts the energy consumption of the mobile devices. Our study suggests that Round Trip Time (RTT) is one of the biggest factors in deciding how advantageous is HTTP/2 compared to HTTP/1.1. We conclude that for networks with higher RTTs, HTTP/2 has better energy consumption performance than HTTP/1.1.

Simulated Performance of TFRC, DCCP, SCTP, and UDP Protocols Over Wired Networks

2020 ◽  
Vol 12 (4) ◽  
pp. 88-103
Author(s):  
Dimitris N. Kanellopoulos ◽  
Ali H. Wheeb
Keyword(s):  
Packet Loss ◽  
Data Transmission ◽  
Transport Layer ◽  
Internet Applications ◽  
Wired Networks ◽  
End To End Delay ◽  
Transport Layer Protocol ◽  
End To End ◽  
Better Than ◽  
Transport Layer Protocols

Multimedia applications impose different QoS requirements (e.g., bounded end-to-end delay and jitter) and need an enhanced transport layer protocol that should handle packet loss, minimize errors, manage network congestion, and transmit efficiently. Across an IP network, the transport layer protocol provides data transmission and affects the QoS provided to the application on hand. The most common transport layer protocols used by Internet applications are TCP and UDP. There are also advanced transport layer protocols such as DCCP and TFRC. The authors evaluated the performance of UDP, DCCP, SCTP, and TFRC over wired networks for three traffic flows: data transmission, video streaming, and voice over IP. The evaluation criteria were throughput, end-to-end delay, and packet loss ratio. They compared their performance to learn in which traffic flow/service each of these protocols functions better than the others. The throughput of SCTP and TFRC is better than UDP. DCCP is superior to SCTP and TFRC in terms of end-to-end delay. SCTP is suitable for Internet applications that require high bandwidth.

Virtualization in Mobile Cloud Computing (VMCC) Environments

2021 ◽  
pp. 404-411
Author(s):  
Raghvendra Kumar ◽  
Prasant Kumar Pattnaik ◽  
Priyanka Pandey
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Mobile Devices ◽  
User Experience ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
Personal Computers ◽  
Mobile Cloud ◽  
Cloud Networking

Unfortunately, most of the widely used protocols for remote desktop access on mobile devices have been designed for scenarios involving personal computers. Furthermore, their energy consumption at the mobile device has not been fully characterized. In this chapter, we specially address energy consumption of mobile cloud networking realized through remote desktop technologies. In order to produce repeatable experiments with comparable results, we design a methodology to automate experiments with a mobile device. Furthermore, we develop an application that allows recording touch events and replaying them for a certain number of times. Moreover, we analyze the performance of widely used remote desktop protocols through extensive experiments involving different classes of mobile devices and realistic usage scenarios. We also relate the energy consumption to the different components involved and to the protocol features. Finally, we provide some considerations on aspects related to usability and user experience.

Virtualization in Mobile Cloud Computing (VMCC) Environments

2017 ◽  
pp. 106-114
Author(s):  
Raghvendra Kumar ◽  
Prasant Kumar Pattnaik ◽  
Priyanka Pandey
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Mobile Devices ◽  
User Experience ◽  
Mobile Device ◽  
Mobile Cloud Computing ◽  
Personal Computers ◽  
Mobile Cloud ◽  
Cloud Networking

Unfortunately, most of the widely used protocols for remote desktop access on mobile devices have been designed for scenarios involving personal computers. Furthermore, their energy consumption at the mobile device has not been fully characterized. In this chapter, we specially address energy consumption of mobile cloud networking realized through remote desktop technologies. In order to produce repeatable experiments with comparable results, we design a methodology to automate experiments with a mobile device. Furthermore, we develop an application that allows recording touch events and replaying them for a certain number of times. Moreover, we analyze the performance of widely used remote desktop protocols through extensive experiments involving different classes of mobile devices and realistic usage scenarios. We also relate the energy consumption to the different components involved and to the protocol features. Finally, we provide some considerations on aspects related to usability and user experience.

Energy Efficiency Comparison with Cipher Strength of AES and Rijndael Cryptographic Algorithms in Mobile Devices

1970 ◽  
Vol 108 (2) ◽  
pp. 11-14 ◽  
Author(s):  
J. Toldinas ◽  
V. Stuikys ◽  
R. Damasevicius ◽  
G. Ziberkas ◽  
M. Banionis
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Mobile Devices ◽  
Mobile Device ◽  
Energy Security ◽  
Pareto Optimal ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Cryptographic Algorithms ◽  
Efficiency Comparison

We analyse energy efficiency vs. cipher strenth of AES/Rijndael crypto algorithms in a mobile device with respect to block and key size. The experimental results show that Pareto-optimal solutions have equal block and key sizes. We also propose three energy/security profiles for the users of mobile devices. As decryption operation requires 14% more energy than encryption, the results of energy consumption measurements when performing data encrypion can be used to predict energy consumption of decryption operation. Ill. 5, bibl. 10, tabl. 2 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.134

A Neuro-Fuzzy Hybrid Framework for Augmenting Resources of Mobile Device

2021 ◽  
pp. 1-37
Author(s):  
S. Anitha ◽  
T. Padma
Keyword(s):  
Energy Consumption ◽  
Mobile Devices ◽  
Mobile Device ◽  
Mobile Applications ◽  
Execution Time ◽  
Mobile App ◽  
Edge Computing ◽  
Bandwidth Utilization ◽  
Modeling Framework ◽  
Neuro Fuzzy

Due to the drastic exploitation of mobile devices and mobile apps in the day-to-day activities of people, the enhancement in hardware and software tools for mobile devices is also rising rapidly to cater to the requirements of mobile users. However, the progress of resource-intensive mobile applications is still inhibited by the limited battery power, restricted memory, and scarce resources of mobile devices. By employing mobile cloud computing, mobile edge computing, and fog computing, many researchers are providing their frameworks and offloading algorithms to augment the resources of mobile devices. In the existing solutions, offloading resource-intensive tasks is adopted only for specific scenarios and also not supporting the flexible exploitation of IoT-based smart mobile applications. So, a novel neuro-fuzzy modeling framework is proposed to augment the inadequate resources of a mobile device by offloading the resource-intensive tasks to external entities, and also a Bat optimization algorithm is exploited to schedule as many tasks as possible to the augmentation entities thereby improving the total execution time of all tasks and minimizing the resource exploitation of the mobile device. In this research work, external augmentation entities like distant cloud, edge cloud, and microcontroller devices are providing Resource augmentation as a Service (RaaS) to mobile devices. An IoT-based smart transport mobile app is implemented based on the proposed framework which depicts a significant reduction in execution time, energy consumption, bandwidth utilization, and average delay. Performance analysis depicts that the neuro-fuzzy hybrid model with Bat optimization provides a significant improvement compared with proximate computing and web service frameworks on the Quality of Service (QoS) parameters namely energy consumption, execution time, bandwidth utilization, and latency. Thus, the proposed framework exhibits a feasible solution of RaaS to resource-constrained mobile devices by exploiting edge computing.

scholarly journals Analyzing Reliable Transport Layer Protocol Performance

2021 ◽  
Vol 1714 ◽  
pp. 012040
Author(s):  
Deepika Singh Kushwah ◽  
Mahesh Kumar ◽  
Lal Pratap Verma
Keyword(s):  
Transport Layer ◽  
Protocol Performance ◽  
Transport Layer Protocol ◽  
Reliable Transport
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