Private Access Points Research Articles

수신 신호 핑거프린트와 전파 예측 모델을 이용한 무선랜 기반 실내 위치추정

In this paper, we propose a new indoor location estimation method which combines the fingerprint technique with the propagation prediction model. The wireless LAN (WLAN) access points (APs) deployed indoors are divided into public APs and private APs. While the fingerprint method can be easily used to public APs usually installed in fixed location, it is difficult to apply the fingerprint scheme to private APs whose location can be freely changed. In the proposed approach, the accuracy of user location estimation is improved by simultaneously utilizing public and private APs. Specifically, the fingerprint method is used to the received signals from public APs and the propagation prediction model is employed to the signals from private APs. The performance of the proposed method is compared with that of conventional indoor location estimation schemes through measurements and numerical simulations in WLAN environments.

Tussle Between APs in a Location-Dependent Pricing Game

In recent years, many pricing schemes have been proposed for network service access in wireless networks. Most of them model this access problem as a cooperative game, where the network service is assumed to be open to every user. However, few of them have considered the scenario where the network service is private, i.e., users cannot access the network service freely. In this paper, we study the network pricing of private wireless access points (APs) under the awareness of the growing popularity of private APs and the increasing attention on their potential usage of providing network service to public users. We formulate this problem as a location-dependent pricing game, and use pricing mechanism to motivate AP owners to share their private networks. Our theoretical study has identified the unique characteristics of the Nash equilibria in single AP and two AP scenarios. We further propose an optimization problem to calculate the optimal strategies in general multiple AP scenarios. The correctness and accuracy of the theoretical analysis have been validated by numerical results.

WiSec 2011 demo

Municipal Wi-Fi networks aim at city-wide wireless access to selected city services for a variety of users. Collaborative Muni-Fi approaches use existing private access points and provide controlled access to these services. However, the distributed and decentralized nature of a network comprised of strangers makes access control challenging. We present two design options for including mobile clients in such system: a client and a network centric design. For both designs we briefly discuss aspects of security and device mobility.

Aggregating Bandwidth for Multihomed Mobile Collaborative Communities

Multihomed, mobile wireless computing and communication devices can spontaneously form communities to logically combine and share the bandwidth of each other's wide-area communication links using inverse multiplexing. But, membership in such a community can be highly dynamic, as devices and their associated WWAN links randomly join and leave the community. We identify the issues and trade-offs faced in designing a decentralized inverse multiplexing system in this challenging setting and determine precisely how heterogeneous WWAN links should be characterized and when they should be added to, or deleted from, the shared pool. We then propose methods of choosing the appropriate channels on which to assign newly arriving application flows. Using video traffic as a motivating example, we demonstrate how significant performance gains can be realized by adapting allocation of the shared WWAN channels to specific application requirements. Our simulation and experimentation results show that collaborative bandwidth aggregation systems are, indeed, a practical and compelling means of achieving high-speed Internet access for groups of wireless computing devices beyond the reach of public or private access points