Ad Hoc Networks for Cooperative Mobile Positioning (original) (raw)

Cooperative Localization in Wireless Ad Hoc and Sensor Networks

EURASIP Journal on Advances in Signal Processing, 2008

The need for highly accurate position information is of great importance in many commercial, public safety, and military applications. With the integration of GPS into cell phones, in conjunction with WiFi localization, we are entering a new era of ubiquitous location-awareness. In the coming years, we will see the emergence of high-definition location-awareness applications: localization systems that operate in the harsh communication environments where GPS does not operate, such as inside buildings and in caves, still providing submeter localization accuracy which is not currently feasible with GPS.

IJERT-Localization of Indoor Mobile Networking

International Journal of Engineering Research and Technology (IJERT), 2020

https://www.ijert.org/localization-of-indoor-mobile-networking https://www.ijert.org/research/localization-of-indoor-mobile-networking-IJERTCONV8IS14039.pdf Reliable indoor location techniques are essential for the development of advanced location-conscious applications. Most of the previously proposed solutions to this problem assume that the nodes can use some ranging technology to obtain pair distances to other nearby nodes. These techniques for indoor localization fix the inadequacy of the global positioning system within a closed setting, such as houses. This research describes and evaluates a method for locating devices that use a wireless network to communicate. The distances between a blind node, unable to decide its position, and a group of anchor nodes, recognizing its localization, are calculated using the signal attenuation (Relative Received Signal Strength Indicator) obtained while capturing International Mobile Subscriber Identity numbers. The position is calculated using the triangulation method.

Enhanced indoor locationing in a congested Wi-Fi environment

2009

Many context-aware mobile applications require a reasonably accurate and stable estimate of a user's location. While the Global Positioning System (GPS) works quite well worldwide outside of buildings and urban canyons, locating an indoor user in a real-world environment is much more problematic. Several different approaches and technologies have been explored, some involving specialized sensors and appliances, and others using increasingly ubiquitous Wi-Fi and Bluetooth radios. In this project, we want to leverage existing Wi-Fi access points (AP) and seek efficient approaches to gain usefully high room-level accuracy of the indoor location prediction of a mobile user. The Redpin algorithm, in particular, matches the Wi-Fi signal received with the signals in the training data and uses the position of the closest training data as the user's current location. However, in a congested Wi-Fi environment where many APs exist, the standard Redpin algorithm can become confused because of the unstable radio signals received from too many APs. In this paper, we propose several enhanced indoor-locationing algorithms for the congested Wi-Fi environment. Different statistical learning algorithms are compared and empirical results show that: using more neighbors gives better results than using the 1-best neighbor; weighting APs with the correlation between the AP visibility and the location is better than the equally weighted AP combination, and automatic filtering noisy APs increases the overall detection accuracy. Our experiments in a university building show that our enhanced indoor locationing algorithms significantly outperform the-state-of-the-art Redpin algorithm. In addition, this paper also reports our findings on how the size of the training data, the physical size of the room and the number of APs affect the accuracy of indoor locationing.

Localization of Indoor Mobile Networking

International journal of engineering research and technology, 2020

Reliable indoor location techniques are essential for the development of advanced location-conscious applications. Most of the previously proposed solutions to this problem assume that the nodes can use some ranging technology to obtain pair distances to other nearby nodes. These techniques for indoor localization fix the inadequacy of the global positioning system within a closed setting, such as houses. This research describes and evaluates a method for locating devices that use a wireless network to communicate. The distances between a blind node, unable to decide its position, and a group of anchor nodes, recognizing its localization, are calculated using the signal attenuation (Relative Received Signal Strength Indicator) obtained while capturing International Mobile Subscriber Identity numbers. The position is calculated using the triangulation method.

On indoor position location with wireless LANs

The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2002

Location aware services are becoming attractive with the deployment of next generation wireless networks and broadband multimedia wireless networks especially in indoor and campus areas. To provide location aware services, obtaining the position of a user accurately is important. While it is possible to deploy additional infrastructure for this purpose, using existing communications infrastructure is preferred for cost reasons. Because of technical restrictions, location fingerprinting schemes are the most promising. In this paper we are presenting a systematic study of the performance/tradeoff and deployment issues. In this paper we present some experimental results towards such a systematic study and discuss some issues related to the indoor positioning problem.