International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 | Impact Factor (2013): 4.438 Volume 4 Issue 3, March 2015 www.ijsr.net Licensed Under Creative Commons Attribution CC BY Design and Determination of Feasible Centroid for Meeting from Multiple Geo-Points: A Review Nikhita Jambhule 1 , Jagdish Pimple 2 1 M.Tech. Scholar, Department of Computer Science & Engineering NIT, Nagpur, India 2 Assistant Professor, Department of Computer Science & Engineering NIT, Nagpur, India Abstract: In recent years smart phone are become most important gadget for maintaining the daily activities and it also used by maximum population worldwide. Use of smart mapping technology is also increasing in large area like transportations, defense, sports, etc. Mapping applications are always depend upon current detection or preferred location of user or the group. Many application trying to get the user location to serve better service to location based services to user. Sharing location among the group is better solution to know the individuals location. Finding or locating the location at known area or the known cities are usable and also feasible but at unknown location using these services may be risky or not feasible. Considering the above condition, if any group wants to arrange a meeting at location which suits all the members hence it will always better to find centroid of the polygon generated by user geo- locations. It also has issue with finding better options of meeting while calculation. Keywords: mapping, polygon algorithm, GCM code, Google API, centroid calculation. 1. Introduction With the development of the ubiquitous wireless technology and mobile positioning technologies and there is explosive growth of location-based services (LBS) in recent years [1]. Mobile clients can issue queries together with their accurate location information and query contents to request LBS. However, the privacy of user's location and query content information may be threatened by the untrustworthy servers. The disclosure of user's location information and query contents are possible to lead to the disclosure of users' behavior patterns, health status, physical stalking, and personal privacy information [1]. Most query tracking models usually consider the background knowledge of the attack on temporal dimension, which means that the attacker has users' information at different moments of cloaking regions. The characteristics of the query attacks for continuous queries in mobile LBS, formalized the attacker's background knowledge in both horizontal spatial dimension and vertical temporal dimension [1]. The concept of privacy is very important for making the communication in WSN secure. Privacy can be defined as- the guarantee that information, in its general sense, is observable or decipherable by only those who are intentionally meant to observe or decipher it. The privacy threats that exist for sensor networks may be categorized broadly into content privacy and context privacy threats [2]. The WSN cluster based source location privacy scheme for WSN which hides the actual identity of a source node during communication through anonymization [2]. Remote vehicle tracking systems have been available in the market for some time. Their performance is commendable and they can track the vehicle’s locations in real time [2]. Determining a suitable location for a set of users is a relevant issues several providers already over variants of this service either as on-line web applications or as stand-alone applications for mobile devices [3]. Not only is such a feature desirable, but it also optimizes the trade-o- between convenience and cost for the involved parties [3].Combined technological advances in location sensing, mobile computing and wireless communication are opening up new and exciting opportunities in the domain of location-aware computing [4].However, there are still some shortcomings that can be addressed to improve the current systems. Firstly, the users often face difficulties in accessing and viewing their vehicle’s location in a user friendly graphical interface and secondly, the subscription cost to maintain their active operation can be prohibitive. Thirdly, these system is not easily customizable. For that propose and build a working prototype of a remote vehicle tracking system that can overcome all the issues. That system integrated with Google Map to ease users in viewing and locating their vehicle whenever and wherever as long as there is an internet connection (remotely accessible). Radio Frequency Identification (RFID) is an automatic identification, non-contact technology that you uses radio signals to identify, sort, track and detect a variety of objects including vehicles, goods, people and assets without the need for direct contact. RFID has an appropriate range and is easy to carry [5].Given the flexibility and convenience of RFID systems, they can be leveraged to detect users’ location information. Meanwhile, users start using location sharing services (LSSs) (e.g Google Latitude, FireEagle) for updating their location status online social sites, seeing their friends’ locations on a map and identifying nearby friends [5]. 2. Related Work Wei Li, Wei Jiao, Guangye Li[1],proposed Loc ation-Based Service(LBS) combined with mobile devices and internet become more and more popular and are widely used in intelligent logistics, traffic navigation and the point of interest query. However most users be concerned about their privacy when using the LBS because they should provide Paper ID: SUB152783 2438