The density of Wi-Fi Access Points (APs)has increased rapidly in urban downtowns [7]and enterprise and campus networks [3]. In most scenarios, a Wi-Fi client has the choice to associate with more than one available AP [3, 12]. Therefore, it is increasingly common to \ufb01nd physically near by Wi-Fi clients that are associated with different APs.<\/p>\n
A number of applications can bene\ufb01t from the ability to send and receive information from nearby clients. For example, clients can perform better AP selection if they have knowledge about the performance of clients associated to neighboring APs. Applications such as \u201cbuddies near me\u201d can discover clients that are nearby but associated to another AP. Similarly, geo casting [11] based applications can reach out to more clients in the same region than being limited to only one wireless network.<\/p>\n","protected":false},"excerpt":{"rendered":"
The density of Wi-Fi Access Points (APs)has increased rapidly in urban downtowns [7]and enterprise and campus networks [3]. In most scenarios, a Wi-Fi client has the choice to associate with more than one available AP [3, 12]. Therefore, it is increasingly common to \ufb01nd physically near by Wi-Fi clients that are associated with different APs. 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Location-sensitive advertisements, ads targeted to a Wi-Fi user based in part on the physical location of that user, will be an important market in the near future. We have developed two schemes for distributing location-sensitive ads to Wi-Fi devices: BeaconStuffing and Neighborcast. 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