2012 1st International Conference on Emerging Technology Trends in Electronics, Communication &Amp; Networking 2012
DOI: 10.1109/et2ecn.2012.6470043
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Reduction of power consumption at mobile station in multi-hop networks in mobile environments

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Cited by 5 publications
(6 citation statements)
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“…For the above-mentioned theory, simulations were performed by considering different parameters and the outcomes demonstrate that DYMO as the proficient power-aware routing protocol. Apart from that, a correlation was made between the simulation results presented in Jain (2012) and case 2 where Power Saving Mode is administered, it was concluded that Power Saving Mode additionally brings up the considerable power saving Figure 11 Average of residue power of mobile nodes using 802.16 for 300 min. A graphical representation of average residue power for architecture with and without relay node; the green bars represents average service life of strategy that made use of IEEE 802.16, whereas the yellow bars represents existing system strategy i.e., simply making use of IEEE 802.11 for 300 minutes of simulation time.…”
Section: Discussionmentioning
confidence: 91%
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“…For the above-mentioned theory, simulations were performed by considering different parameters and the outcomes demonstrate that DYMO as the proficient power-aware routing protocol. Apart from that, a correlation was made between the simulation results presented in Jain (2012) and case 2 where Power Saving Mode is administered, it was concluded that Power Saving Mode additionally brings up the considerable power saving Figure 11 Average of residue power of mobile nodes using 802.16 for 300 min. A graphical representation of average residue power for architecture with and without relay node; the green bars represents average service life of strategy that made use of IEEE 802.16, whereas the yellow bars represents existing system strategy i.e., simply making use of IEEE 802.11 for 300 minutes of simulation time.…”
Section: Discussionmentioning
confidence: 91%
“…User-defined energy model allows the user to specify the amount of energy that can be utilized for each of the above-mentioned modes, such that the power utilization are below mentioned with the threshold level so as to prevent the network from early exhaustion. On comparing the average of the service life obtained in (Jain, 2012) for 100, 200 and 300 min and the average of the service life obtained in case 2 scenario for simulation time 100, 200 and 300 min, it can be estimated that PSM proves to be efficient. The comparison for the values generated in (Jain, 2012) and case 2 scenario can be depicted from Figs.…”
Section: Case 2: Energy Consumption Of Nodes Using Power Saving Modementioning
confidence: 97%
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