2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications 2007
DOI: 10.1109/pimrc.2007.4394194
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An Optimal Adaptive Approach using Behavioral Promiscuous Caching and Storage-Capacity Characteristics for Energy Conservation in Asymmetrical Wireless Devices

Abstract: Current approaches for tuning the energy conservation do not take into consideration the storage requirements of each device, the traffic and channel data rate as well as parameters concerning the caching activity for packet forwarding. In this work, an evaluation scheme is proposed based on each node's self-scheduling energy management. This scheme is associating crucial metrics of an ad-hoc wireless host with the remaining capacity units of each device, communicating via asymmetrical wireless links. Promiscu… Show more

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Cited by 7 publications
(24 citation statements)
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References 21 publications
(46 reference statements)
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“…Figure 9 shows that between the values 0.86 and 1.0 for the fading channel characteristics parameter, the energy ‡ consumed is found to be at a desired level as expected. This can also be compared with the simulation results extracted by previous researches [15,16] where approximately the values are very close. Figure 10 shows the power consumed with respect to the average throughput.…”
Section: Performance Real-time Evaluation Using the Mica2 Sensors Equmentioning
confidence: 54%
See 1 more Smart Citation
“…Figure 9 shows that between the values 0.86 and 1.0 for the fading channel characteristics parameter, the energy ‡ consumed is found to be at a desired level as expected. This can also be compared with the simulation results extracted by previous researches [15,16] where approximately the values are very close. Figure 10 shows the power consumed with respect to the average throughput.…”
Section: Performance Real-time Evaluation Using the Mica2 Sensors Equmentioning
confidence: 54%
“…The work done in [3,5,6] determines a combination of the history traffic scheme along with an association of the behavioral promiscuous caching characteristics and storage-capacity characteristics. This work extends the work already done in [3,15,16] proposing 171 an architectural optimization of the previous frameworks by introducing the cross-layered twotier model to conserve energy. The model measures the validity and effectiveness of the newly proposed middleware and controls the mobile interfaces by minimizing the energy consumed on any asymmetrically communicating wireless link.…”
Section: Related Workmentioning
confidence: 56%
“…There remains further scope for research in this particular avenue, e.g. considering the storage capabilities of mobile devices while utilising caches for performance optimisation and energy conservation [23].…”
Section: Load Scalability Analysismentioning
confidence: 99%
“…where T sleep is the time duration the node N is allowed to sleep and to exist in the semi-sleep state, the σ i is the promiscuous caching threshold parameter (introduced in [19]). Figure 4 shows the parameters which affect the overall σ i and the link predicted transmission time duration.…”
Section: Layered Asynchronous Scheduling Scheme With Spatiotemporal Amentioning
confidence: 99%
“…Figure 4 shows the parameters which affect the overall σ i and the link predicted transmission time duration. When σ i is minimized, is considered as the optimal caching parameter for minimum energy consumption [19]. The σ i parameter is a function ofδ (m) which is the promiscuous caching delay (duration in sec).…”
Section: Layered Asynchronous Scheduling Scheme With Spatiotemporal Amentioning
confidence: 99%