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Furthermore, since most of the proposed ACKthinning mechanisms are orthogonal to techniques restricting the injection of DATA segments, it would be interesting to examine if cumulative performance improvement is possible Even though researchers have simulated and analyzed the effects of their proposed techniques in supposedly typical MANET scenarios, there is little data from real testbed measurements The analysis of the algorithms in a real-life setting would, of course, increase con dence in the accuracy of simulation results, validating previous work While the question as to whether MANETs of any size will, in fact, be deployed widely in the real world remains open, bene ts of the proposed techniques, even on a more modest scale, would help instill con dence that the conclusions drawn from these efforts would be applicable in a larger scale..

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r Static sink placement (termed STATIC in the following) In this case the sink is optimally placed at the center of the deployment area r The sink mobility as generated by solving the MILP model presented in Section 1052 (OPT) r RM, the mobility heuristic outlined in Section 1053, which is similar to the scenario with a randomly moving MULE, but with multihop routing r The scheme that we term PM (for Perimeter Mobility), according to which the sink moves cyclically along the perimeter of the deployment area (Section 1053) Experiments should be performed in different settings For instance, one should vary the transmission radius (from 25 m to 30 m), the data routing protocol (shortest path-like versus geographic), and the way nodes are deployed (grid positioning versus random scattering).

10.7 EXERCISES 1. Evaluating the Effects of ACKs on Spatial Contention: As mentioned throughout this survey, spatial contention is an important concept in MANETs and a prevalent concern with respect to TCP throughput performance. Previous research work has considered the amount of ACK-produced traf c to contribute signi cantly to spatial contention, but there have been few attempts to assess this contribution.

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The results obtained are consistent with what we describe here (which refers to the basic scenario with transmission ranges of 30 m and 25 m) The conclusion is that GMRE is a simple but effective solution, achieving a network lifetime close to OPT s that is, the best that can be obtained by exploiting sink mobility in a multihop WSN RM and PM have similar performance in terms of network lifetime with PM outperforming RM at higher tmin values Both schemes improve considerably over STATIC, which advocates for the use of mobility in WSNs However, the lack of energy awareness does not allow us to match the results seen with GMRE (see references 10 and 59 for further details) Table 102 shows the average network lifetimes achieved by STATIC, RM, PM, GMRE, and OPT in networks whose nodes have transmission ranges of 25 m and 30 m.

terns can become. In using the theory in practice, you would look for a resumption of the uptrend to continue with a move above the neckline or the dashed line where Points 1 and 4 intersect. For further research on the theory of Elliott wave analysis, Elliott Wave Principles by A. J. Frost and Robert Prechter would be helpful as would any other writings by Prechter.

(The network lifetime has been de ned as the time until the rst node dies because of energy depletion) Improvements with respect to the static case can be as high as 350% when the sink moves according to GMRE in scenarios with 64 sink sites In this case the GMRE lifetime is never more than 22% (25%) shorter than the OPT lifetime when the transmission range is 25 m (30 m) and tmin is kept below 250 K Improvements on network lifetime are obtained even when the sink moves randomly (RM heuristic) or.

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