Review on Various Techniques of Energy Saving in Mobile Cloud Computing

Thakur, Pawan Kumar; Verma, Amandeep

doi:10.1109/acct.2015.104

Cited by 7 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, existing WSNs are mainly used for delay-tolerant services that require low computation. For this reason, many researchers have focused on improving the power consumption efficiency of WSNs [ 8 , 9 ]. In addition, other researchers have conducted research on utilizing cloud servers to overcome the nodes’ limited resources such as low computing power, storage shortage, etc.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Computing System for Heavy-Computation and Low-Latency Processing in Wireless Sensor Networks

Jung

Lee

Kim

2018

Sensors

View full text Add to dashboard Cite

Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in various areas including Internet of Things (IoT). In general, existing WSNs are mainly used for applications that require delay-tolerance and low-computation due to the poor resources of traditional sensor nodes in WSNs. However, compared to the traditional sensor nodes, today’s devices for WSNs have more powerful resource. Thus, sensor nodes these days not only conduct sensing and transmitting data to servers but also are able to process many operations, so more diverse applications can be applied to WSNs. Especially, many applications using audio data have been proposed because audio is one of the most widely used data types, and many mobile devices already have a built-in microphone. However, many of the applications have a requirement that heavy-operations should be done by a tight deadline, so it is difficult for a single node in WSNs to run relatively heavy applications by itself. In this paper, to overcome this limitation of WSNs, we propose a new emerging system, HeaLow, a cooperative computing system for heavy-computation and low-latency processing in WSNs. We designed HeaLow and carried out the practical implementation on real devices. We confirmed the effectiveness of HeaLow through various experiments using the real devices and simulations. Using HeaLow, nodes in WSNs are able to perform heavy-computation processes while satisfying a completion time requirement.

show abstract

Section: Introductionmentioning

confidence: 99%