UNDERSTANDING THE CORRELATION OF THE PROPERTIES OF HUMAN MOVEMENT PATTERNS

Mobility of humans plays an important role in shaping the performance of various services in mobile and location dependent networks. In this paper, we amalgamate and summarize the parameters reported in various trace analyses, and explore the inter-dependencies among the parameters using a layered approach. We then identify using an experimental setup (a) several roadblocks in generating an intended synthesis model, (b) the changes in the mobility patterns with variation in inputs (e.g., the underlying map), and (c) the changes in efficiency of a given service (here we have considered simple broadcasting) with change in the input parameters. Interestingly, we note that the efficiency of the service does not necessarily depend on the mobility pattern and one needs to be extremely careful before drawing a direct correlation between the two.