Flooding is an expensive but unavoidable operation in some application scenarios devised for Mobile Ad Hoc Networks (MANETs). In this paper, we present a novel algorithm to reduce the overhead imposed by flooding operations. The algorithm improves previous results by using a distributed function to elect the nodes that will provide the highest additional coverage to previous retransmissions. The algorithm does not require any signalling or imposes special requirements on the participating devices.
In this paper, we examine the requirements for future middleware to support mobile and pervasive applications and identify key research areas. We illustrate the research areas with requirements identified in two specific research projects concerning pervasive healthcare and home entertainment.
A BSTRACTIn many simulation studies the performance of the modeled system is characterized only by mean values of the performance indices. However, the percentiles are more informative in summarizing the performance. Several simultaneous percentiles, presented for example in the form of the boxplot, provide the analyst with better understanding of the system's behaviour. The simultaneous estimation of several percentiles is a cumbersome task. The extended P 2 -algorithm proposed in this study significantly reduces the computation of the estimation. The algorithm simultaneously estimates several percentiles without storing and sorting the observations. Empirical validation studies indicate the algorithm can be used in simulation studies.
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