The paper discusses Pocket Switched Networks (PSN), a form of Delay-Tolerant Networking (DTN) that leverages human mobility and local/global connectivity to transfer data between mobile devices. The authors conducted an experiment at the Infocom 2005 conference, measuring the mobility patterns of 41 participants using Intel iMotes. The results showed a power-law distribution in the time between node contacts, similar to previous studies in corporate and academic settings. The paper explores the implications of these findings for designing forwarding algorithms in PSN, highlighting the importance of considering human mobility, opportunistic networking, and the characteristics of personal devices. Key findings include the need for algorithms that can handle the power-law distribution of inter-contact times, the potential benefits of forwarding to groups of nodes, the variability in node activity, and the influence of time of day on contact patterns. The authors plan to continue collecting and analyzing human mobility data and designing forwarding algorithms based on these insights.The paper discusses Pocket Switched Networks (PSN), a form of Delay-Tolerant Networking (DTN) that leverages human mobility and local/global connectivity to transfer data between mobile devices. The authors conducted an experiment at the Infocom 2005 conference, measuring the mobility patterns of 41 participants using Intel iMotes. The results showed a power-law distribution in the time between node contacts, similar to previous studies in corporate and academic settings. The paper explores the implications of these findings for designing forwarding algorithms in PSN, highlighting the importance of considering human mobility, opportunistic networking, and the characteristics of personal devices. Key findings include the need for algorithms that can handle the power-law distribution of inter-contact times, the potential benefits of forwarding to groups of nodes, the variability in node activity, and the influence of time of day on contact patterns. The authors plan to continue collecting and analyzing human mobility data and designing forwarding algorithms based on these insights.