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In this paper, we present the performance of an RSSI based localization scheme for wireless sensor networks (WSN) that is proposed to reduce the adverse effects of shadowing caused by obstacles in the field of deployment. The proposed scheme applies spatial correlations between a set of candidate solutions that are obtained from subsets of beacon signals that are used for localization. We analyze...
Point-based approach is a well-known localization approach in Wireless Sensor Networks (WSNs). However, by applying the point-based approach, the communication disk (communication range) of each sensor has to be passed through by the mobile anchor twice at least. To address this problem, this paper presents a Rapid Localization (RL) scheme which aims at reducing the time duration required for each...
The 4G wireless network is proposed to integrate various radio access technologies into a common network known as open wireless architecture (OWA), this has led to the idea of cooperative user location estimation, in this paper we have proposed a cooperative TDoA/RSS/TDoA user location estimation method which uses information from two different Radio Access Networks (RANs) as the long range (LR) data...
In real life, looking for a misplaced object like a key in the room can be usually like searching for a needle in a haystack. In this paper, we propose a novel solution to accurately locate the specified objects attached with RFID tags in indoor environments, by efficiently leveraging the RFID technology. By making a number of novel observations regarding the tag reading performance, we obtain several...
Localizability and accuracy are two fundamental problems in many range-based localization schemes for sensor networks. This poster addresses the two problems theoretically by introducing two new concepts: the effective degree and the lower bound of geometric dilution of precision (GDOP). We prove that the network is not localizable unless the average effective degree is greater than or equal to the...
The position information is usually needed when wireless sensor networks are applied for surveillance within certain region. Thus the localization of nodes is critical for WSNs. However, the present localization schemes mostly focus on static sensor networks, and in mobile WSNs, these schemes will not work well. This paper proposes a range-free Monte Carlo localization algorithm TSBMCL, which is extended...
In this paper, we consider the problem of positioning, travel direction detection and speed estimation of GSM-based mobile phones. Many techniques are proposed using several technologies like GSM, UMTS or WiFi. Once these technologies are mature enough to be deployed, they will have significant impact on automotive telematics and modern public transit systems. We produce a technique for speed estimation...
To meet the needs of node mobility of Internet of thing (IOT), a localization algorithm named Weighted Monte Carlo Localization based on Smallest Enclosing Circle is proposed, which is based on the classic Monte Carlo Localization algorithm, aiming to solve the localization problem of mobile nodes. The algorithm uses the hops of anchor nodes and generates the smallest enclosing circle of anchor nodes...
In underwater sensor networks, localization is one of the most important issues because sensor nodes are considerably difficult to be deployed at determined locations. Since range-based schemes require additional device and precise time synchronization for measuring distances in underwater environments, range-free schemes are promising in the view point of energy consumption and implementation. Coarseness...
In this paper, we provide a study of applying location aware wireless sensor network system for tracking movements and gathering sensor data from sports team players. A set of system design requirements are developed that cover the design of the sensor network system, the hardware design of the mobile nodes, the design of the position algorithm, the design of communication protocols, and the design...
Location-based services on mobile devices have become a key element in today's wireless and mobile phone infrastructure, which due to their potential for precise personalization offer interesting opportunities for Semantic Computing. However, location information is mostly only available outdoors and current indoor localization schemes are not very accurate. In this paper, we therefore present a novel...
Many localization algorithms have been proposed for wireless sensor network. They focus on localization for static sensor network, but not for mobile one. With the development of sensor and network technology, a wireless sensor network with mobile sensor nodes becomes applicable. A mobile wireless sensor network (MWSN) consists of sensor nodes that may move often. Traditional localization algorithms...
This paper proposes a novel approach for node localization with applications in mobile ad-hoc networks. The network consists of base nodes and target nodes. Base nodes equipped with antenna arrays are capable of localizing target nodes independently via integrated time-of-arrival (TOA) and direction-of-arrival (DOA) estimation. In addition, base nodes cooperate to improve the localization accuracy...
We propose a sensor positioning scheme for a wireless sensor network consisting of beacons as well as collaborative anchors (CA) to help sensors within a prescribed service area to locate themselves. We assume a robust performance is achieved in the sense that a prescribed location accuracy requirement is fulfilled within the service area. Under the assumption that the time-of-arrival and location...
Localization systems have been identified as a key issue to the development and operation of the Wireless Sensor Networks (WSN). Accurate localization algorithms are needed for a wide variety of WSN applications, and it is hard to get the precision solution by traditional node localization algorithm. In this paper, we propose a new technique for position estimation of nodes using Learning Automata...
The proliferation of WLAN infrastructures has facilitated numerous indoor localization techniques using WLAN fingerprints. In particular, identifying a room or a place in urban environments could be usefully utilized in many application domains such as ubiquitous health. However, it is not straightforward how to bootstrap such a localization system because WLAN fingerprints of all places must be available...
Accurate local positioning systems usually use a network of anchor nodes at known locations to track mobile nodes based on the measurement of the time of arrival (TOA) at anchor nodes of beacon signals transmitted by the mobile nodes. To localize the mobile node either TOA processing, where the unknown transmit time is estimated along with the node location, or time difference of arrival (TDOA) processing,...
Wireless sensor networks (WSNs) are a large ad hoc networks of distributed sensors that are equipped with low power supply modules. Location information is a basic requirement for many WSNs applications. Because localization accuracy is sufficient for many sensor network applications, range free localization schemes based on RSSI technique are being pursed as a cost effective and convenient alternative...
A novel RSSI-based localization algorithm is proposed for wireless sensor networks. The proposed distributed range-free localization scheme is implemented by a mobile anchor node equipped with a GPS. The mobile anchor node moves in sensor area and broadcasts its current position periodically. A stationary sensor node computes its location using two positions of the mobile anchor node. After first...
Localization algorithms are required for indoor wireless sensor network (WSN) applications because the identification of real positions can upgrade the importance of sensing information. In this paper, we introduce a efficient algorithm which can improve the accuracy of location identification by employing jumper setting at each sensor. The proposed algorithm perform localization more accurately than...
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