Significant effort has been invested recently to ac- celerate handover operations in a next generation mo- bile Internet. Corresponding works for developing effi- cient mobile multicast management are emergent. Both problems simultaneously expose routing complexity be- tween subsequent points of attachment as a characteris- tic parameter for handover performance in access net- works.
As continuous mobility handovers necessarily occur between access routers located in geographic vicinity, this paper investigates on the hypothesis that geograph- ically adjacent edge networks attain a reduced network distances as compared to arbitrary Internet nodes. We therefore evaluate and analyze edge distance distribu- tions in various regions for clustered IP ranges on their geographic location such as a city. We use traceroute to collect packet forwarding path and round-trip-time of each intermediate node to scan-wise derive an upper bound of the node distances. Results of different scan- ning origins are compared to obtain the best estima- tion of network distance of each pair. Our results are compared with corresponding analysis of CAIDA Skit- ter data, overall leading to fairly stable, reproducible edge distance distributions. As a first conclusion on ex- pected impact on handover performance measures, our results indicate a general optimum for handover antic- ipation time in 802.11 networks of 25 ms.