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Journal ArticleDOI

Green Computing in Communication Networks

18 Apr 2013-International Journal of Computer Applications (Foundation of Computer Science (FCS))-Vol. 68, Iss: 23, pp 1-5

TL;DR: In this work there many different technologies are discussed which emphasize on green computing, related to both the type of communication network and also provide an overview of network energy saving studies in different areas which are involved in data transformation.

AbstractCurrently in networking field green computing technology has made a great impact in the environment, which makes it more efficient and proper use of network resources and less consumption of energy. The concept of Green computing technology in communication network is explained here. The computing technology is considered over communication network and this communication network is broadly categorized as infrastructure (wired) and wireless networks, also called as ADHOC network in which mobile nodes and sensor nodes are responsible for communication. In this work there many different technologies are discussed which emphasize on green computing, related to both the type of communication network and also provide an overview of network energy saving studies in different areas which are involved in data transformation.

Topics: Wireless network (60%), Wireless ad hoc network (57%), Green computing (57%), Telecommunications network (53%)

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Citations
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Journal ArticleDOI
TL;DR: A novel routing protocol named genetic algorithm-based energy-efficient routing (GAER) protocol for infrastructure-less Oppnets is proposed, which uses a node’s personal information, and then applies the genetic algorithm (GA) to select a better next hop among a group of neighbour nodes for the message to be routed to the destination.
Abstract: In infrastructure-less opportunistic networks (Oppnets), the routing of messages is a challenging task since nodes are not aware of the network topology and they look for an opportunity to send the message by finding or predicting a best temporary path at each hop towards the destination. As nodes perform various computations for next hop selection, a lot of battery power gets consumed, which in turn reduces the network lifetime. Thus, there is a clear demand for routing protocols for such networks which are energy-efficient and consume lesser power of nodes in forwarding a message. In this paper, a novel routing protocol named genetic algorithm-based energy-efficient routing (GAER) protocol for infrastructure-less Oppnets is proposed. This protocol uses a node's personal information, and then applies the genetic algorithm (GA) to select a better next hop among a group of neighbour nodes for the message to be routed to the destination. With the application of GA, optimal results are obtained that help in the selection of the best possible node as the next hop, which in turn, leads to prolonged battery life. Simulation results show that GAER outperforms the Epidemic, PROPHET, and Spray and Wait protocols in terms of messages delivered, overhead ratio, average residual energy, and number of dead nodes. The results obtained for average latency and average buffer time using GAER are comparable to those obtained for the aforementioned protocols.

45 citations


Book ChapterDOI
01 Jan 2018
TL;DR: This research paper highlights the advantageous use of green computing and its associated approaches through a survey conducted over power consumption in Amity University.
Abstract: The term Green Computing is combination of two words which basically means usage of electronic devices in an efficient way. Green computing is a trend/study which came recently and is about building, designing and operating electronic devices to maximize the efficiency in terms of energy. Green computing includes the manufacturing and disposing of electronic devices including the computer resources such as the monitor, storage devices, CPU, associated subsystems, etc., without causing any ill effect to the environment. Also, one of the important aspects of green computing is recycling of the devices which are used worldwide in IT industry. This research paper highlights the advantageous use of green computing and its associated approaches through a survey conducted over power consumption in Amity University.

References
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Journal ArticleDOI
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Posted Content
TL;DR: This article proposes a framework for green radio research and integrates the fundamental issues that are currently scattered and demonstrates that key network performance/cost indicators are all strung together.
Abstract: Traditional design of mobile wireless networks mainly focuses on ubiquitous access and large capacity. However, as energy saving and environmental protection become a global demand and inevitable trend, wireless researchers and engineers need to shift their focus to energy-efficiency oriented design, that is, green radio. In this paper, we propose a framework for green radio research and integrate the fundamental issues that are currently scattered. The skeleton of the framework consists of four fundamental tradeoffs: deployment efficiency - energy efficiency tradeoff, spectrum efficiency - energy efficiency tradeoff, bandwidth - power tradeoff, and delay - power tradeoff. With the help of the four fundamental tradeoffs, we demonstrate that key network performance/cost indicators are all stringed together.

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"Green Computing in Communication Ne..." refers background in this paper

  • ...With the introduction of device as stated above, the next-generation wireless networks are expected to provide high-speed Internet access on-demand [3]....

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Proceedings ArticleDOI
01 Nov 2010
TL;DR: Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, it is found that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection.
Abstract: While many public cloud providers offer pay-as-you-go computing, their varying approaches to infrastructure, virtualization, and software services lead to a problem of plenty. To help customers pick a cloud that fits their needs, we develop CloudCmp, a systematic comparator of the performance and cost of cloud providers. CloudCmp measures the elastic computing, persistent storage, and networking services offered by a cloud along metrics that directly reflect their impact on the performance of customer applications. CloudCmp strives to ensure fairness, representativeness, and compliance of these measurements while limiting measurement cost. Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, we find that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection. From case studies on three representative cloud applications, we show that CloudCmp can guide customers in selecting the best-performing provider for their applications.

963 citations


"Green Computing in Communication Ne..." refers methods in this paper

  • ...Cloud computing is the term used to refer ―almost anything ―can be accessed [12]....

    [...]