REROUTING VOICE OVER IP CALLS BASED IN QOS

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1 1 REROUTING VOICE OVER IP CALLS BASED IN QOS DESCRIPTION BACKGROUND OF THE INVENTION 1.- Field of the invention The present invention relates to telecommunications field. More specifically, in the contextaware applications, which are able to provide custom information to each user in function of his profile, obtained from an statistical process. 2.- Description of the Related Art 1 2 The accurate localization of objects and people has long been considered an important building block for ubiquitous computing applications. The most commonly available location technology today is the Global Positioning System (GPS). Unfortunately, GPS does not work well indoors, in urban canyons, or in similar areas with most research on indoor localization systems has been based limited view of the sky. Instead, on the use of short-range signals, such as [P. Bahl, V.N. Padmanabhan, RADAR: An in-building RF-based user location and tracking system, in:proceedings of INFOCOM, 00.], Bluetooth [L. Aalto, N. Gothlin, J. Korhonen, T. Ojala, Bluetooth and WAP push based location-aware mobile advertising system, in: Proceedings of the 2nd International Conference on Mobile Systems, Applications, and Services, ACM Press, 04]0, ultra sound [N.B. Priyantha, A. Chakraborty, H. Balakrishnan, The cricket location-support system, in: Proceedings of the Sixth Annual ACM International Conference on Mobile Computing and Networking, 00], or infrared [A. Ward, A. Jones, A. Hopper, A new location technique for the active office, IEEE Personal Communications 4 () (1997)]. One first approach was proposed in [Lionel M., LANDMARC: Indoor Location Sensing Using Active RFID, Wireless Network, Volume, Number 6], which uses Radio Frequency Identification (RFID) for locating objects inside buildings. The LANDMARC approach proposed is cheaper, the environmental dynamics can be easily accommodated and have high accuracy and reliability. However, this approach can locate objects, but is not able to provide object

2 2 1 2 information. Another inconvenient is that is needed to install RDF readers in the selected place and the needed to add an RDF tag to cell phones. Infrared approaches are not considered because the lie-of-sight requirement and short-range signal transmission are two major limitations that suggest it to be less than effective in practice for indoor location sensing approaches need cell phones which supports this protocol, which is impractical because not all cell phones would be located. Ultrasonic approaches requires a great deal of infrastructure in order to be highly effective and accurate, yet the cost is so exorbitant that it is inaccessible to most users. A new approach is to use the GSM Indoor location proposed in [Varshavsky, A, GSM indoor localization. Pervasive and mobile computing. Volume 3, Issue 6]. This approach leverages the phone s existing hardware and removes the need for additional radio interfaces. Therefore, is not needed to deal with any new infrastructure, because makes use of the existing GSM infrastructure, obviating the need for infrastructure investment and greatly increasing the possible area in which the system will work. To carry out the application we want, it is considered that this latter approach is the most optimal, and therefore will be used. The key idea that makes accurate GSM-based indoor localization possible is the use of wide signal-strength fingerprints. The wide fingerprint includes the 6-strongest GSM cells and readings of up to 29 additional GSM channels, most of which are strong enough to be detected, but too weak to be used for efficient communication. The higher dimensionality introduced by the additional channels dramatically increases localization accuracy. Two factors lead to the good performance of radio fingerprinting in the wireless band used by GSM and networks. The first is that the signal strengths observed by mobile devices exhibit considerable spatial variability at the 1 m level. That is to say, a given radio source may be heard stronger or not at all a few meters away. The second factor is that these same signal strengths are consistent with time; the signal strength from a given source at a given location is likely to be similar tomorrow and next week. In combination, this means that there is a radio profile that is feature rich in space and reasonably consistent with time. Fingerprinting-based location techniques take advantage of this by capturing this radio profile for later reference. Fingerprinting relies on a training phase in which a mobile device moves through the environment recording the strength of signals emanating from a group of GSM base stations.

3 3 Once the training phase is complete, a client can estimate its location by performing a radio scan (or equivalently collecting a testing point) and feeding it to a localization algorithm, which estimates the client s location based on the similarity of the signal strength signatures between the testing and the training points. This system will be used to locate users, basic part of the application. Once the users can be located into certain area, The next step is to create different user profiles in order to publish and generate the different auctions. This process will be explained in the next section. SUMMARY OF THE INVENTION 1 2 Terms context aware and ubiquitous computing have been in recent years important fields of research. Devices are smaller and more powerful each day and interactivity with them is being improved continuously. By improving the computer s access to context [], we increase the richness of communication in human-computer interaction and make it possible to produce more useful computational services. This document presents a new application oriented to sending personalized advertising to specific users in a certain place. System detects the different cell phones placed in a certain place and process this information to obtain the different cell phone s owner profiles. After that, this information is shown to several companies interested in send advertisements to these users. Then is organized an auction in which companies bid on the basis of user profiles located on the site. The system not only has the information obtained from user profiles, but also may provide information on other contextual conditions that may be relevant for companies such as temperature or weather In this way, companies know the user profile and bid with more interest if the average profile of the users match the user profile that does business focus. Users also are favored by the use of this application to organize the publicity they are sent because they receive more personalized and that better fits their personal interests. The detection of users is done using the algorithm proposed in [], based in GSM location, which provides some benefits: 1) GSM coverage far exceeds the coverage of networks 2) The wide acceptance of cellular phones makes them ideal conduits for the delivery of

4 4 1 ubiquitous computing applications. A localization system based on cellular signals, such as GSM, leverages the phone s existing hardware and removes the need for additional radio interfaces 3) Because cellular towers are dispersed across the covered area, a cellular-based localization system would still work in situations where a building s electrical infrastructure has failed. Once users are identified, these data are sent to the operator, who processes this data to create different user profiles. These user profiles are obtained from a data mining process which are based in the algorithm proposed in []. Results of this process are published in a web page and companies can consult the different user profiles collected and bid in order to send advertising messages to the intended users. This auction will be available during a certain period of time that the end will tell the winning company to send advertising their services to users and automatically send a short message or an multimedia message about company s services. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 shows a diagram of the lifecycle of the proponed application. Firstly Users located identifications and details from companies are delivered to the control system, which provides info to companies and manages the auction. Once the auction is finished, winner company send information to users. 2 DETAILED DESCRIPTION OF THE INVENTION Detecting users The recent growth of interest in pervasive computing and location-aware systems and services provides a strong motivation to develop techniques for estimating the location of devices and hence users in both outdoor and indoor environments. Indoor location estimation is particularly challenging due to the poor indoor coverage of Global Positioning System (GPS). One approach to indoor location estimation is to deploy a dedicated sensor network (e.g. using infra-red or ultra-sound technology), but this has obvious cost and maintenance ramifications. Finally, chosen option was based in GSM location aware. The key idea that makes

5 1 2 accurate GSM-based indoor localization possible is the use of wide signal-strength fingerprints. The wide fingerprint includes the 6-strongest GSM cells and readings of up to 29 additional GSM channels, most of which are strong enough to be detected, but too weak to be used for efficient communication. The higher dimensionality introduced by the additional channels dramatically increases localization accuracy. GSM-based indoor localization has several benefits: (i) GSM coverage far exceeds the coverage of networks; (ii) the wide acceptance of cellular phones makes them ideal conduits for the delivery of ubiquitous computing applications. A localization system based on cellular signals, such as GSM, leverages the phone s existing hardware and removes the need for additional radio interfaces; (iii) because cellular towers are dispersed across the covered area, a cellular-based localization system would still work in situations where a building s electrical infrastructure has failed. Moreover, cellular systems are designed to tolerate power failures. For example, the cellular network kept working during the massive power outage that left most of the Northeastern United States and Canada in the dark in the Summer of 03; (iv) GSM, unlike networks, operates in a licensed band, and therefore does not suffer from interference from nearby devices transmitting on the same frequency (e.g., microwaves, cordless phones); and (v) the significant expense and complexity of cellular base stations1 result in a network that evolves slowly and is only reconfigured infrequently. While this lack of flexibility (and high configuration cost) is certainly a drawback for the cellular system operator, it results in a stable environment that allows the localization system to operate for a long period before having to be recalibrated. Processing the data Data about users can be obtained from some different sources, like registry in system form, data obtained from client purchases or different loyalty cards. This is an easy way to solve the knowledge bottleneck problem. Once the problem of source of data is solved, the system have to be able to process these data. There are several approaches to obtain a good user modeling without an intrusive way of obtain data from users before modeling them. Some of these approaches are based in Artificial Intelligence, but these systems are complex and expensive. The approach selected to model the users is proposed in, is a simple but effective system in which users rate some items and algorithm later is able to predict the users true rating about other items. We assume a set of N users {1,.,N}, a set of M items {1,.,M}, and a set of V discrete rating values {1,,V}. In the natural case where each user has at most one rating for each item y, the ratings for each user form a vector with one component per item. Of course, the

6 values of some components are not known. We refer to user u's rating vector as their rating profile denoted. Rating prediction is the elementary task performed with rating-based data. Given a particular item and user, the goal is to predict the user's true rating for the item in question. Building the auction application Once users are located and user profile generated, it s time to build an application which provides an auction service to companies interested in send advertisements to cell phone users. The application will be web based because companies should be able to connect with the system in real time to bid. The interface will be intuitive and should provide in an easy and simple way all the statistical data. Companies must have all available information to make their bids knowing all the possibilities. Time to time, depending on each situation, the system looks for users located within the area and generate statistical study with different user profiles. Then, the system will notify via to all the companies registered in the system that a new auction is available. Companies review statistical study results and in light of that, consider whether it is interest then send their advertising to users located in the area. By notifications via companies follow the course of the auction and the end of the auction process is notified to the winning company that can send his advertising. At that time it displays a form to the winning company in which introducing the parameters of the message to send to users. This system provides a new way to send personalized advertising to users, in which firms choose when they send their advertising in terms of people located in a particular precinct. This system also provides added value to users, receiving information relating to their own tastes.

7 7 1 CLAIMS 1.- A method to obtain a list of cell phones located in a certain place using a based on GSM implementation. 2.- An application in which different companies can be registered and publish their own interest fields. 3.- A system which processes the data obtained from claims 1 and two and obtain different statistical profiles from users detected in claim An application which notify to companies of claim 2that process of claim 3 is finished and the auction will start..- Application will provide a service to companies in which can bid to send advertisement messages to the different user profiles. 6.- System will notify about all the changes in the auction to all the companies interested in send information to certain group of users with a given profile. 7.- at the end of the auction process is notified to the winning company that can send his advertising. 8.- After, system displays a form to the winning company in which introducing the parameters of the message to send to users.

8 8 REROUTING VOICE OVER IP CALLS BASED IN QOS ABSTRACT Problems: Companies want to send information about their services to users interested in that services. Users are well disposed to get personalized information in their own mobile phone, but not any information. Solution: Combine information form users located in a certain place with information of context to obtain different user profiles. Companies will bid for send information to users. Users received information related to their own tastes. 1

9 9 DRAWINGS FIG 1

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