Explorative navigation of mobile sensor networks using sparse gaussian processes songhwai oh, yunfei xu, and jongeun choi abstract this paper presents an explorative navigation method using sparse gaussian processes for mobile sensor networks. Jones sublllitted to the departillent of electrical engincering and c0111putcr sciencc on l\iiay6, 2005, in partial flllfilh11cntof the requirelllcnts for the dgreeof rviaster of science abstract. Hence, localization schemes for sensor networks typically use a small number of seed nodes that. Pdf an important problem in mobile adhoc wireless sensor networks is the localization of individual nodes, i. A mechanism to structure missionaware interaction in. Many sensor network applications require location awareness, but it is often too expensive to include a gps receiver in a sensor network node. Abstractthis paper presents localization in wireless sensor networks wsns in presence of obstacles using a mobile anchor. Location of the event is very critical in wsn, as sensing data is almost meaningless without the location information. The advances in mobile robotics allow us today to add the mobility concept into many di. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. Localization for mobile sensor networks request pdf.
Low communication cost lcc scheme for localizing mobile. It is the goal of this paper to investigate the relationship between sensing and communication in mobile sensor networks and demonstrate how the mobility can be utilized to achieve better overall performance. An enhanced localization scheme for mobile sensor networks. We introduce a novel, motionbased algorithm for node position and direction calculation with respect to each individual nodes local coordinate system in mobile adhoc sensor networks, without global positioning information. Coverage control for mobile sensor networks with limited. Localization algorithm for large scale mobile wireless sensor networks samira afzal department of computer engineering, sharif university of technology, tehran, iran abstract localization is one of the most crucial problems in wireless sensor networks. A cooperative localization algorithm for mobile sensor networks junghun suh, seungil you, and songhwai oh abstract in this paper, we propose a cooperative localization algorithm for mobile sensor networks with camera sensors to operate under gps denied areas or indoor environments. A new approach for structural health monitoring dapeng zhu 1, xiaohua yi 1, yang wang 1, jiajie guo 2, kokmeng lee 2 1 school of civil and environmental engineering, georgia institute of technology, atlanta, ga 30332 2 school of mechanical engineering, georgia institute of technology, atlanta, ga 30332 abstract in this paper, a new approach using mobile sensor. Demaine, seth teller mit computer science and articial intelligence laboratory.
Classification and comparison of rangebased localization. Localization is a way to determine the location of sensor nodes. It is very important to know about the location of collected data. Dynamic localization protocols for mobile sensor networks. Localization in wireless sensor network using a mobile.
The resulting closedloop behavior is adaptive, distributed, asynchronous, and veri. Wireless sensor network wsn applications typically involve the observation of some physical phenomenon through sampling of the environment. Wireless sensor networks wsns can be defined as a selfconfigured and infrastructureless wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and analysed. However, there exist many applications 6, 7 which require mobile nodes, for instance, habitat. They differ in the information used for localization.
In wireless sensor networks using only static sensor nodes, localization algorithm usually runs only at the time of initial deployment of the nodes. Sensor selfdeployment is an important research issue that deals with autonomous coverage formation in mobile sensor networks msn. Abstract localization is an extremely important service in wireless sensor network and when nodes are mobile then it is the utmost challenge. The node localization problem in mobile sensor networks has recently received significant attention. A mobile wireless sensor network mwsn can simply be defined as a wireless sensor network wsn in which the sensor nodes are mobile. Location and position estimation in wireless sensor networks.
Based on a wiener process mobility model, and in a network with mobile sensor and sink nodes, we study a repetition based approach for. Keywords mobile sensor networks, anchor nodes, rangefree model, beacon signal and localization. Pdf localization schemes for wireless sensor networks can be classified as rangebased or rangefree. Introduction the rapid development in highly dynamic sensor networks like mobile sensor networkshas been widely used. Multihopbased monte carlo localization for mobile sensor networks. In recent surge of interest in mobile sensor applications, in this paper studies the target tracking problem in a mobile sensor network msn. Mwsns are a smaller, emerging field of research in contrast to their wellestablished predecessor. There are several interesting challenges in realizing such a system, such as providing efficient methods for the sensor. Localization schemes for wireless sensor networks can be classified as rangebased or rangefree. A mobile anchor node is aware of its position, and moves in sensor area and broadcasts its current position periodically to generate a number of virtual anchor. Recent advances insemiconductor, networking and material science technologies are driving the ubiquitous deployment of largescale wireless sensor networks wsns. The proposed scheme uses a mobile anchor, which finds its location via global positioning system gps.
Data communication in mobile wireless sensor networks venkatramana bhat p. Our work adapts the monte carlo localization mcl method 10, 42 developed for use in robotics localization for use in mobile sensor network applications. Thanks to controlled mobility, the network can now be made autonomous and thus, more adaptable to the phenomenon it is deployed to study, making it possible to build and deploy networks that can sense and act in the physical world in programmable ways. Cooperative control for localization of mobile sensor networks. Dynamic sensor tasking in heterogeneous, mobile sensor networks by peter. The coverage control problem for mobile sensor networks with limited communication ranges is addressed in this paper. Zheng et al energyefficient localization and tracking of mobile devices in wireless sensor networks 2 ing, and conduct extensive experimental studies in practical environments to verify our proposed schemes. In this paper, we present a new scheme to solve this issue in the mobile and large scale networks. Particle filters, adapted from robotics, have produced good localization accuracies in conventional settings, but suffer significantly when used in. Pdf localization in wireless sensor networks using a. According to several characteristics, these localization schemes can be broadly classified into range based or range free, anchorbased or anchorfree, stationary or mobile sensor nodes, fine grained or coarse grained, absolute or relative coordinates and centralized or. In this paper, we consider the problem of cooperatively control a formation of networked mobile robotsvehicles to optimize the relative and absolute localization performance in 1d and 2d space.
Convergence of mobile devices and wireless sensor networks 1 abstract pervasive computing with mobile devices and wireless sensor networks have been identified as a future area of research. Dynamic sensor tasking in heterogeneous, mobile sensor. Explorative navigation of mobile sensor networks using. Considering network scalability, unpredictable node failure, dynamic topological change, and narrow network bandwidth, a solution algorithm should be carried out in a localized manner. The authors presented a new energy efficient and safe weighted clustering algorithm eswca for mobile wsns using a combination of five metrics. Communication and sensing tradeoffs in decentralized. An overwhelming majority of the current research on sensor networks consider static networks 1, 2, and 4. R4 associate professor1, assistant professor2,3,4 1,2 d epar tm n ofeee, 3 ece, sree sakthi engineering college1,2, united institute of technology3,4 co i. In this section, we discuss some of the related works in mobile wsns and how they relate to and differ from our proposal. Pdf localization in mobile wireless and sensor networks. Convergence of mobile devices and wireless sensor networks.
Pdf rangebased localization in mobile sensor networks. Gpsfree node localization in mobile wireless sensor networks. Pdf a survey on localization for mobile wireless sensor networks. Wireless networks are of particular importance when a large number of sensor nodes have to be deployed, andor in hazardous situations.
Cooperative node localization for mobile sensor networks. Together, these technologies have combined to enable a new generation of wsns that differ greatly from wireless networks developed. A cooperative localization algorithm for mobile sensor. Mobile sensor networks a new approach for structural. Because all of these algorithms take potentially several iterations to terminate, they may not meet the response time requirements of the relocation problem. Mobileassisted localization in wireless sensor networks. Mobile sensor networks applications and confidentiality a special issue journal published by hindawi. Localization is important when there is an uncertainty of the exact location of some. An enhanced localization scheme for mobile sensor networks dr. Mobileassisted localization in wireless sensor networks nissanka b.
Pdf over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols. This article motivates the convergence of those two technologies as introduces new services to the customer. This kind of information can be obtained using localization technique in wireless sensor networks wsns. The improved availability of sensor nodes has caused an increase in the number of researchers studying sensor networks. Results show that our system attain good performances in the sense of both positioning accuracy and energy consumption. Localization techniques in wireless sensor networks. Dynamic localization control for mobile sensor networks. The deployment of mobile sensors is possible and useful in many application scenarios, ranging from the environmental monitoring and public safety applications, to the industry, healthcare and military applications. Implementation of the target tracking in mobile sensor.
Much previous work on sensor networks, such as environmental monitoring and firstresponder systems, can be adapted to mobile smartphones, where that work will. Location and position estimation in wireless sensor networks muhammad farooqiazam comsats institute of information technology, lahore, pakistan muhammad naeem ayyaz university of engineering and technology, lahore, pakistan abstract a wireless sensor network comprises of small sensor nodes each of which consists of a processing device. A survey on localization in wireless sensor networks. However, in a sensor network using mobile sensor nodes, the localization algorithm is needed to determine. Performance measures are proposed that capture the estimate. The advent of mobile sensor networks are used in hazardous areas, remote areas and. Fourth annual ieee communications society conference on sensor, mesh and ad hoc. In this article, we address a scenario where a subset of sensors, c. Mwsns are much more versatile than static sensor networks as they can be deployed in any scenario and cope with rapid topology changes. Mobile sensor networks hold tremendous promise as a technology. Localization in wireless sensor networks using a mobile anchor node. Localization in wireless sensor networks not only provides a node with its geographical location but also a basic requirement for other applications such as geographical routing. Localization of sensor nodes is an interesting research area, and many works have been done so far. The 6th international conference on information processing in sensor networks ipsn.
Secure node localization in mobile sensor networks. Dynamic localization protocols for mobile sensor networks sameer tilak, vinay kolar, nael b. Localization for mobile sensor networks proceedings of the 10th. A lot of work still needs to be done to realize practical applications for wireless sensor networks. Data communication in mobile wireless sensor networks.
Rangebased methods use range measurements, while rangefree techniques only use the content of. However, positionbased protocols require localization mechanism or a gps for the location information, which consumes energy and affects the network lifetime. Building a sensor network of mobile phones microsoft. Our algorithm works fast, in one step of the movement and does not require addi. Pdf gpsfree node localization in mobile wireless sensor networks. Localization algorithm for large scale mobile wireless. Localization for mobile sensor networks computer science. A survey on localization for mobile wireless sensor networks. The goal of the problem is to minimize a coverage cost function which indicates the largest arrival time from the mobile sensor network to the points on a circle.
We rst show that a nearoptimal approximation is possible with a subset of measurements if we select the. Localization in mobile wireless and sensor networks. An efficient localization scheme for mobile wsn international. The ability of a sensor node to determine its position is a fundamental requirement for many applications in wireless sensor networks wsns. Pdf in wireless sensor networks wsn, sensor location plays a critical role in many applications. Mobile sensor networks applications and confidentiality.
The widespread and ubiquitous nature of mobile phones around the world makes it attractive to build a largescale sensor network using the phones as its sensor nodes. In conclusion, localization is a new and exciting field, with new algorithms, hardware, and applications being developed at a feverish pace. A framework for active perception is presented utilizing a graphical representation of sensory information obtained from the robot network. There are many techniques in the literature proposed for static and mobile sensor networks.
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