Energy-Aware Task Scheduling: Towards Enabling Mobile Computing over MANETs

Alsalih, Waleed; Akl, Selim G.; Hassancin, H.

doi:10.1109/ipdps.2005.199

Cited by 27 publications

(33 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hu and Marculescu [7] and Alsalih et al [8] developed models of the channel directions in processor network. Otto et al [9] studied about the "Personal Server" in their research work.…”

Section: Introductionmentioning

confidence: 99%

The Intelligent Healthcare Data Management System Using Nanosensors

et al. 2017

View full text Add to dashboard Cite

We developed a design of Intelligent Healthcare Data Management System using nanosensors (IHDMS) and composed an application for mobile device. The proposed IHDMS will coordinate the healthcare data of the patients from nanosensors and transforms it into a worldwide consumed standard HL7 (Health Level Seven) for conversion of healthcare data. This converted data dispatches to a server of its system. The battery lifetime of the facility is feasible to increase, the memory usage is less than 100 KB, and it operates all data by employing few and far between resources. Moreover, the proposed system decreases the waiting time in the transposing data, and secured channel was used for the server of the healthcare center in the running HL7 format data.

show abstract

“…Hu and Marculescu [7] and Alsalih et al [8] developed models of the channel directions in processor network. Otto et al [9] studied about the "Personal Server" in their research work.…”

Section: Introductionmentioning

confidence: 99%

The Intelligent Healthcare Data Management System Using Nanosensors

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Much of this trend can be attributed to rapid advances in processing power, network bandwidth, and storage capacity. A collaborative application in its general form consists of a number of tasks cooperating with each other through communications to fulfill a common mission [3], [15], [18], [28], [32]. A typical example of collaborative applications is a cluster-based target tracking sensor network [32], where all sensor nodes in one cluster transfer parameters, which are sampled from a surrounding environment, to a gateway node via radio transmitters.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Delay Tunable Task Allocation Strategy for Collaborative Applications in Networked Embedded Systems

Xie

Qin

2008

IEEE Trans. Comput.

View full text Add to dashboard Cite

Abstract-Collaborative applications with energy and low-delay constraints are emerging in various networked embedded systems like wireless sensor networks and multimedia terminals. Conventional energy-aware task allocation schemes developed for collaborative applications only concentrated on energy savings when making allocation decisions. Consequently, the length of the schedules generated by such allocation schemes could be very long, which is unfavorable or, in some situations, even not tolerated. To remedy this problem, we developed a novel task allocation strategy called Balanced Energy-Aware Task Allocation (BEATA) for collaborative applications running on heterogeneous networked embedded systems. The BEATA algorithm aims at blending an energy-delay efficiency scheme with task allocations, thereby making the best trade-offs between energy savings and schedule lengths. Aside from that, we introduced the concept of an energy-adaptive window, which is a critical parameter in the BEATA strategy. By fine-tuning the size of the energy-adaptive window, users can readily customize BEATA to meet their specific energy-delay trade-off needs imposed by applications. Further, we built a mathematical model to approximate the energy consumption caused by both computation and communication activities. Experimental results show that BEATA significantly improves the performance of embedded systems in terms of energy savings and schedule length over existing allocation schemes.

show abstract

“…In these networks, each channel can transfer data streams on both directions with the same characteristic. Some work deal with asymmetric channels and model the channel directions explicitly, e.g., in [HM05,AAH05].…”

Section: Resource Modelmentioning

confidence: 99%

“…In Although it is not mentioned explicitly in [AAH05], this proposed matrix representation of processor network can model the directions in processor networks and support the existence of relaying devices. However, it has the following limitations:…”

Section: Alsalih Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Task distribution based adaptation in mobile patient monitoring systems

Mei¹

View full text Add to dashboard Cite

Energy-Aware Task Scheduling: Towards Enabling Mobile Computing over MANETs

Cited by 27 publications

References 11 publications

The Intelligent Healthcare Data Management System Using Nanosensors

The Intelligent Healthcare Data Management System Using Nanosensors

An Energy-Delay Tunable Task Allocation Strategy for Collaborative Applications in Networked Embedded Systems

Task distribution based adaptation in mobile patient monitoring systems

Contact Info

Product

Resources

About