The document proposes a fuzzy logic-based approach for mobile node localization in challenging indoor and mobile environments characterized by high radio signal irregularity. It develops a fuzzy multilateration module and fuzzy inference module to obtain a node's location from noisy RSS measurements. Extensive simulation results show improvements in localization accuracy from 20 to 40 percent when radio irregularity is high, outperforming state-of-the-art solutions. A hardware implementation on motes transported by robots confirms the simulation results in real-world testing.
AN IMPROVED DECENTRALIZED APPROACH FOR TRACKING MULTIPLE MOBILE TARGETS THROU...ijwmn
Target localization and tracking problems in WSNs have received considerable attention recently, driven
by the requirement to achieve high localization accuracy, with the minimum cost possible. In WSN based
tracking applications, it is critical to know the current location of any sensor node with the minimum
energy consumed. This paper focuses on the energy consumption issue in terms of communication
between nodes whenever the localization information is transmitted to a sink node. Tracking through
WSNs can be categorized into centralized and decentralized systems. Decentralized systems offer low
power consumption when deployed to track a small number of mobile targets compared to the centralized
tracking systems. However, in several applications, it is essential to position a large number of mobile
targets. In such applications, decentralized systems offer high power consumption, since the location of
each mobile target is required to be transmitted to a sink node, and this increases the power consumption
for the whole WSN. In this paper, we propose a power efficient decentralized approach for tracking a
large number of mobile targets while offering reasonable localization accuracy through ZigBee network
Indoor Localization Using Local Node Density In Ad Hoc WSNsjoaquin_gonzalez
Presentation for Master Thesis "Indoor Localization Using Local Node Density In Ad Hoc WSNs", research supported by Free University Berlin. Coordinators: Freddy Lopez Villafuerte, Gianluca Cornetta.
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
AN IMPROVED DECENTRALIZED APPROACH FOR TRACKING MULTIPLE MOBILE TARGETS THROU...ijwmn
Target localization and tracking problems in WSNs have received considerable attention recently, driven
by the requirement to achieve high localization accuracy, with the minimum cost possible. In WSN based
tracking applications, it is critical to know the current location of any sensor node with the minimum
energy consumed. This paper focuses on the energy consumption issue in terms of communication
between nodes whenever the localization information is transmitted to a sink node. Tracking through
WSNs can be categorized into centralized and decentralized systems. Decentralized systems offer low
power consumption when deployed to track a small number of mobile targets compared to the centralized
tracking systems. However, in several applications, it is essential to position a large number of mobile
targets. In such applications, decentralized systems offer high power consumption, since the location of
each mobile target is required to be transmitted to a sink node, and this increases the power consumption
for the whole WSN. In this paper, we propose a power efficient decentralized approach for tracking a
large number of mobile targets while offering reasonable localization accuracy through ZigBee network
Indoor Localization Using Local Node Density In Ad Hoc WSNsjoaquin_gonzalez
Presentation for Master Thesis "Indoor Localization Using Local Node Density In Ad Hoc WSNs", research supported by Free University Berlin. Coordinators: Freddy Lopez Villafuerte, Gianluca Cornetta.
ER Publication,
IJETR, IJMCTR,
Journals,
International Journals,
High Impact Journals,
Monthly Journal,
Good quality Journals,
Research,
Research Papers,
Research Article,
Free Journals, Open access Journals,
erpublication.org,
Engineering Journal,
Science Journals,
AN EFFICIENT SLEEP SCHEDULING STRATEGY FOR WIRELESS SENSOR NETWORKijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Ant Colony Optimization for Wireless Sensor Network: A Reviewiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Node Deployment in Homogeneous and Heterogeneous Wireless Sensor NetworkIJMTST Journal
Optimal sensor deployment is necessary condition in homogeneous and heterogeneous wireless sensor
network. Effective deployment of sensor nodes is a major point of concern as performance and lifetime of any
WSN. Proposed sensor deployment in WSN explore every sensor node sends its data to the nearest sink node
of the WSN. In addition to that system proposes a hexagonal cell based sensor deployment which leads to
optimal sensor deployment for both homogeneous and heterogeneous sensor deployment. Wireless sensor
networks are receiving significant concentration due to their potential applications ranging from surveillance
to tracking domains. In limited communication range, a WSN is divided into several disconnected sub-graphs
under certain conditions. We deploy sensor nodes at random locations so that it improves performance of the
network.This paper aims to study, discuss and analyze various node deployment strategies and coverage
problems for Homogeneous and Heterogeneous WSN.
Multi-Robot Sensor Relocation to Enhance Connectivity in a WSNijasuc
Ensuring connectivity in Wireless Sensor Networks (WSN) is a challenging issue, especially in hazardous
areas (like battlefield). Many applications of WSN require an important level of connectivity in the network
to detect a given event (like detection Intrusion) and forward it to the ”sink” node in order to alert users.
For these risky areas the deterministic deployment is not usually guaranteed and the network is composed
by a set of disconnected Islands. We present in our work two strategies to relocate sensors in order to
improve the connectivity using mobile Robots. These two solutions are called Multi-Robot Island-based
Relocation (MRIBR) and Multi-Robot Grid-Based Island-based Relocation (MRGIR). Through several
simulations, we show that MRGIR outperforms MRIBR. Our study can be used especially to make a tradeoff
between the number of deployed sensors and the numbers of the used mobile robots, according to the
quality needed for the application.
Wireless Sensor Network (WSN) consists of sensor nodes which interact with each other through physical parameters like sunlight, wind, vibration, humidity etc. Routing protocols provide an optimal data transmission route from sensor nodes to sink node to save energy of nodes. From Base Station (BS) Sensor node sends and receives data to or from wireless stations. Clustering mechanism is one of the popular routing mechanisms used in WSN for optimizing the problem in sensor nodes. There are two types of clustering schemes known as homogeneous schemes and heterogeneous schemes. In Homogeneous scheme initial energy is same for each node but in heterogeneous scheme initial energy is different for each node and also used to determine the efficiency of sensor networks. Enhanced Modified LEACH (EMODLEACH) is a reactive protocol which is implemented for homogeneous network model. We have implemented the concept of Efficient Cluster head Replacement scheme and Dual transmitting power level scheme of MODLEACH along with the concept of Efficient Intra Cluster transmission Scheme of TEEN in LEACH. We analyze the PEGASIS protocol and modified the exiting protocol called improved energy balanced routing protocol (IEBRP).This IEBRP is based on cluster formation, cluster routing and other aspects of LEACH protocol.
Spatial Correlation Based Medium Access Control Protocol Using DSR & AODV Rou...IOSR Journals
Abstract : In Wireless sensor network sensor nodes have a limited battery life and their efficient utilization is
a very much importent task. Their are many ways are proposed for efficient utilization of energy.For efficient
energy utilization many topologies,protocals are proposed by the help of which we can maximize the battery
life. In this paper we propesed a methode in which a correlation is made between all the sensor nodes including
ME(mobile element). A Vector Quantization methode are used for distance calculation between all the sensor
nodes and mobile element. After finding the corrélation we used the DSR & AODV routing Protocol. The
performance of the proposed protocol has been examined and evaluated with the NS-2 simulator in terms of
packet drop ratio and energy consumption. The simulation result shows that the proposed protocol with AODV
routing gives a batter result compared with same protocol with DSR routing.
Keywords: ME, DVT, DSR, AODV, Wireless Sensor Network, Efficient Energy Utilization
Effective range free localization scheme for wireless sensor networkijmnct
Location aware sensors can be used in many areas such as military and civilian applications. Wireless
Sensor Networks help to identify the accurate location of the event. In this paper a cost effective schema for
localization has been proposed. It uses two beacon nodes to identify the location of unknown nodes. It
also uses flooding and estimating method to accurately identify the location of other nodes. Available area
is divided into zones and beacons are provided for each zone. Beacon nodes are placed in appropriate
locations normally two in a zone to provide location information. Using the two nodes location of unknown
nodes can be calculated accurately.
Optimum Sensor Node Localization in Wireless Sensor Networkspaperpublications3
Abstract: Scientists, engineers, and researchers use wireless sensor networks (WSN) for a wide array of applications. Many of these applications rely on knowledge of the precise position of each node. An optimum localization algorithm can be used for determining the position of nodes in a wireless sensor network. This paper provides an overview of different approach of node localization discovery in wireless sensor networks. The overview of the schemes proposed by different scholars for the improvement of localization in wireless sensor networks is also presented. Experiments were performed in a testbed area containing anchor and blind nodes deployed in it to characterize the pathloss exponent and to determine the localization error of the algorithm. Details regarding the implementation of new algorithm are also discussed in this paper.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
A Novel Range-Free Localization Scheme for Wireless Sensor NetworksGiselleginaGloria
This paper present a low-cost yet effective localization scheme for the wireless sensor networks. There are many studies in the literature of locating the sensors in the wireless sensor networks. Most of them require either installing extra hardware or having a certain amount of sensor nodes with known positions. The localization scheme we propose in this paper is range-free, i.e., not requiring extra hardware devices, and meanwhile it only needs two anchor nodes with known position. Firstly, we install the first anchor node at the lower left corner (Sink X) and the other anchor node at the lower right corner (Sink Y). Then we calculate the minimum hop counts for each unknown node to both Sink X and Sink Y. According to the minimum hop count pair to Sink X and Sink Y of each node, we can virtually divide the monitored region into zones. We then estimate the coordinate of each sensor depending on its located zone. Finally, we adjust the location estimation of each sensor according to its relative position in the zone. We simulate our proposed scheme and the well-known DV-Hop method. The simulation results show that our proposed scheme is superior to the DV-Hop method under both low density and high density sensor deployments.
The Key Metric forEvaluation Localizationin Wireless Sensor Networks via Dist...CSEIJJournal
Wireless sensor network localization is an importantarea that attracted significant research interest..
Hence, localization schemes for wireless sensorAlthough mobility would appear to make localization more
difficult, in this paper We present a new method bywhich a sensor node can determine its location by
listening to wireless transmissions from three or more fixed beacon nodes and argue that it can exploit
mobility to improve the accuracy and precision of localization. Our approach does not require additional
hardware on the nodes and works even when the movement of seeds and nodes is uncontrollable. The
proposed method is based on aDistance/ Angle- Estimation technique that does not increase the complexity
or cost of construction of the localization sensor nodes. It determines how the available information will be
manipulated to enable all of the nodes of the WSN to estimate their positions. It is a distributed and usually
multi-hop algorithm
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
AN EFFICIENT SLEEP SCHEDULING STRATEGY FOR WIRELESS SENSOR NETWORKijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Ant Colony Optimization for Wireless Sensor Network: A Reviewiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Node Deployment in Homogeneous and Heterogeneous Wireless Sensor NetworkIJMTST Journal
Optimal sensor deployment is necessary condition in homogeneous and heterogeneous wireless sensor
network. Effective deployment of sensor nodes is a major point of concern as performance and lifetime of any
WSN. Proposed sensor deployment in WSN explore every sensor node sends its data to the nearest sink node
of the WSN. In addition to that system proposes a hexagonal cell based sensor deployment which leads to
optimal sensor deployment for both homogeneous and heterogeneous sensor deployment. Wireless sensor
networks are receiving significant concentration due to their potential applications ranging from surveillance
to tracking domains. In limited communication range, a WSN is divided into several disconnected sub-graphs
under certain conditions. We deploy sensor nodes at random locations so that it improves performance of the
network.This paper aims to study, discuss and analyze various node deployment strategies and coverage
problems for Homogeneous and Heterogeneous WSN.
Multi-Robot Sensor Relocation to Enhance Connectivity in a WSNijasuc
Ensuring connectivity in Wireless Sensor Networks (WSN) is a challenging issue, especially in hazardous
areas (like battlefield). Many applications of WSN require an important level of connectivity in the network
to detect a given event (like detection Intrusion) and forward it to the ”sink” node in order to alert users.
For these risky areas the deterministic deployment is not usually guaranteed and the network is composed
by a set of disconnected Islands. We present in our work two strategies to relocate sensors in order to
improve the connectivity using mobile Robots. These two solutions are called Multi-Robot Island-based
Relocation (MRIBR) and Multi-Robot Grid-Based Island-based Relocation (MRGIR). Through several
simulations, we show that MRGIR outperforms MRIBR. Our study can be used especially to make a tradeoff
between the number of deployed sensors and the numbers of the used mobile robots, according to the
quality needed for the application.
Wireless Sensor Network (WSN) consists of sensor nodes which interact with each other through physical parameters like sunlight, wind, vibration, humidity etc. Routing protocols provide an optimal data transmission route from sensor nodes to sink node to save energy of nodes. From Base Station (BS) Sensor node sends and receives data to or from wireless stations. Clustering mechanism is one of the popular routing mechanisms used in WSN for optimizing the problem in sensor nodes. There are two types of clustering schemes known as homogeneous schemes and heterogeneous schemes. In Homogeneous scheme initial energy is same for each node but in heterogeneous scheme initial energy is different for each node and also used to determine the efficiency of sensor networks. Enhanced Modified LEACH (EMODLEACH) is a reactive protocol which is implemented for homogeneous network model. We have implemented the concept of Efficient Cluster head Replacement scheme and Dual transmitting power level scheme of MODLEACH along with the concept of Efficient Intra Cluster transmission Scheme of TEEN in LEACH. We analyze the PEGASIS protocol and modified the exiting protocol called improved energy balanced routing protocol (IEBRP).This IEBRP is based on cluster formation, cluster routing and other aspects of LEACH protocol.
Spatial Correlation Based Medium Access Control Protocol Using DSR & AODV Rou...IOSR Journals
Abstract : In Wireless sensor network sensor nodes have a limited battery life and their efficient utilization is
a very much importent task. Their are many ways are proposed for efficient utilization of energy.For efficient
energy utilization many topologies,protocals are proposed by the help of which we can maximize the battery
life. In this paper we propesed a methode in which a correlation is made between all the sensor nodes including
ME(mobile element). A Vector Quantization methode are used for distance calculation between all the sensor
nodes and mobile element. After finding the corrélation we used the DSR & AODV routing Protocol. The
performance of the proposed protocol has been examined and evaluated with the NS-2 simulator in terms of
packet drop ratio and energy consumption. The simulation result shows that the proposed protocol with AODV
routing gives a batter result compared with same protocol with DSR routing.
Keywords: ME, DVT, DSR, AODV, Wireless Sensor Network, Efficient Energy Utilization
Effective range free localization scheme for wireless sensor networkijmnct
Location aware sensors can be used in many areas such as military and civilian applications. Wireless
Sensor Networks help to identify the accurate location of the event. In this paper a cost effective schema for
localization has been proposed. It uses two beacon nodes to identify the location of unknown nodes. It
also uses flooding and estimating method to accurately identify the location of other nodes. Available area
is divided into zones and beacons are provided for each zone. Beacon nodes are placed in appropriate
locations normally two in a zone to provide location information. Using the two nodes location of unknown
nodes can be calculated accurately.
Optimum Sensor Node Localization in Wireless Sensor Networkspaperpublications3
Abstract: Scientists, engineers, and researchers use wireless sensor networks (WSN) for a wide array of applications. Many of these applications rely on knowledge of the precise position of each node. An optimum localization algorithm can be used for determining the position of nodes in a wireless sensor network. This paper provides an overview of different approach of node localization discovery in wireless sensor networks. The overview of the schemes proposed by different scholars for the improvement of localization in wireless sensor networks is also presented. Experiments were performed in a testbed area containing anchor and blind nodes deployed in it to characterize the pathloss exponent and to determine the localization error of the algorithm. Details regarding the implementation of new algorithm are also discussed in this paper.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
A Novel Range-Free Localization Scheme for Wireless Sensor NetworksGiselleginaGloria
This paper present a low-cost yet effective localization scheme for the wireless sensor networks. There are many studies in the literature of locating the sensors in the wireless sensor networks. Most of them require either installing extra hardware or having a certain amount of sensor nodes with known positions. The localization scheme we propose in this paper is range-free, i.e., not requiring extra hardware devices, and meanwhile it only needs two anchor nodes with known position. Firstly, we install the first anchor node at the lower left corner (Sink X) and the other anchor node at the lower right corner (Sink Y). Then we calculate the minimum hop counts for each unknown node to both Sink X and Sink Y. According to the minimum hop count pair to Sink X and Sink Y of each node, we can virtually divide the monitored region into zones. We then estimate the coordinate of each sensor depending on its located zone. Finally, we adjust the location estimation of each sensor according to its relative position in the zone. We simulate our proposed scheme and the well-known DV-Hop method. The simulation results show that our proposed scheme is superior to the DV-Hop method under both low density and high density sensor deployments.
The Key Metric forEvaluation Localizationin Wireless Sensor Networks via Dist...CSEIJJournal
Wireless sensor network localization is an importantarea that attracted significant research interest..
Hence, localization schemes for wireless sensorAlthough mobility would appear to make localization more
difficult, in this paper We present a new method bywhich a sensor node can determine its location by
listening to wireless transmissions from three or more fixed beacon nodes and argue that it can exploit
mobility to improve the accuracy and precision of localization. Our approach does not require additional
hardware on the nodes and works even when the movement of seeds and nodes is uncontrollable. The
proposed method is based on aDistance/ Angle- Estimation technique that does not increase the complexity
or cost of construction of the localization sensor nodes. It determines how the available information will be
manipulated to enable all of the nodes of the WSN to estimate their positions. It is a distributed and usually
multi-hop algorithm
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Range Free Localization using Expected Hop Progress in Wireless Sensor NetworkAM Publications
Wireless sensor network (WSN) combines the concept of wireless network with sensors. Wireless Sensor Networks
have been proposed for a multitude of location-dependent applications. Localization (location estimation) capability is
essential in most wireless sensor network applications. In environmental monitoring applications such as animal habitat
monitoring, bush fire surveillance, water quality monitoring and precision agriculture, the measurement data are
meaningless without an accurate knowledge of the location from where the data are obtained. Finding position without the
aid of GPS in each node of an ad hoc network is important in cases where GPS is either not accessible, or not practical to use
due to power, form factor or line of sight conditions. So here we are going to used DV-Hop algorithm, i.e. distance vector
routing algorithm for finding the position of sensor. Here we summarizes the performance evaluation criteria of the
wireless sensor network and algorithms, classification methods, and highlights the principles and characteristics of the
algorithm and system representative of the field in recent years, and several algorithms simulation and analysis.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
LOCALIZATION ALGORITHM USING VARYING SPEED MOBILE SINK FOR WIRELESS SENSOR NE...ijasuc
Localization of sensor nodes is important in many aspects in wireless sensor networks. The known
location of sensor node helps in determining the event of interest. A mobile sink is introduced to track the
event driven sensor nodes in the path of the event, thus conserving energy and time. We present a novel
range based localization algorithm which helps the mobile sink to compute the location of the sensor
nodes efficiently. The data transfer from the mobile sink and the sensor nodes is used to estimate the
sensor location. The sensor nodes do not need to spend energy on neighbouring interaction for
localization. The localization mechanism has been implemented in TOSSIM. The simulation results show
that our scheme performed better than other range-based schemes.
A HYBRID FUZZY SYSTEM BASED COOPERATIVE SCALABLE AND SECURED LOCALIZATION SCH...ijwmn
Localization entails position estimation of sensor nodes by employing different techniques and mathematical computations. Localizable sensors also form an inherent part in the functioning of IoT devices and robotics. In this article, the author extends1 a novel scheme for node localization implemented using a hybrid fuzzy logic system to trace the node locations inside the deployment region, presented by the
Abhishek Kumar et. al. The results obtained were then optimized using Gauss Newton Optimization to improve the localization accuracy by 50% to 90% vis-à-vis weighted centroid and other fuzzy based localization algorithms. This article attempts to scale the proposed scheme for large number of sensor nodes to emulate somewhat real world scenario by introducing cooperative localization in previous presented work. The study also analyses the effectiveness of such scaling by comparing the localization accuracy. In next section, the article incorporates security in the proposed cooperative localization approach to detect malicious nodes/anchors by mutual authentication using El Gamel digital Signature scheme. A detailed study of the impact of incorporating security and scaling on average processing time and localization coverage has also been performed. The processing time increased by a factor of 2.5s for 500 nodes (can be attributed to more number of iterations and computations and large deployment area with small radio range of nodes) and coverage remained almost equal, albeit slightly low by a factor of 1% to 2%. Apart from these, the article also discusses the impact of adding extra functionalities in the proposed hybrid fuzzy system based localization scheme on processing time and localization accuracy.Lastly, this study also briefs about how the proposed scalable, cooperative and secure localization scheme tackles the type of attacks that pose threat to localization.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications.
Typical Soft Technologies is one of the leading Software Company located in Chennai that offers best Quality projects and training to all customers.
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Redundant Actor Based Multi-Hole Healing System for Mobile Sensor NetworksEditor IJCATR
In recent years, the Mobile Wireless Sensor Network
is the emerging solution for monitoring of a specified region of
interest. Several anomalies can occur in WSNs that impair their
desired functionalities resulting in the formation of different
kinds of holes, namely: coverage holes, routing holes. Our
ultimate aim is to cover total area without coverage hole in
wireless sensor networks. We propose a comprehensive solution,
called holes detection and healing. We divided our proposed
work into two phases. The first phase consists of three sub- tasks;
Hole-identification, Hole-discovery and border detection. The
second phase treats the Hole-healing with novel concept, hole
healing area. It consists of two sub-tasks; Hole healing area
determination and node relocation.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
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Toward accurate mobile sensor network localization in noisy environments
1. Toward Accurate Mobile Sensor Network Localization in
Noisy Environments
ABSTRACT:
The node localization problem in mobile sensor networks has received significant
attention. Recently, particle filters adapted from robotics have produced good
localization accuracies in conventional settings. In spite of these successes, state-
of-theart solutions suffer significantly when used in challenging indoor and mobile
environments characterized by a high degree of radio signal irregularity. New
solutions are needed to address these challenges. We propose a fuzzy logic-based
approach for mobile node localization in challenging environments. Localization is
formulated as a fuzzy multilateration problem. For sparse networks with few
available anchors, we propose a fuzzy grid-prediction scheme. The fuzzy logic-
based localization scheme is implemented in a simulator and compared to state-of-
the-art solutions. Extensive simulation results demonstrate improvements in the
localization accuracy from 20 to 40 percent when the radio irregularity is high. A
hardware implementation running on Epic motes and transported by iRobot mobile
hosts confirms simulation results and extends them to the real world.
2. EXISTING SYSTEM:
Range-based localization methods require an estimate of the distance or angle
between two nodes to localize and may operate in both absolute and relative
coordinate systems.
Typical drawbacks for these methods include higher computational loads,
increased node size, higher energy consumption and increased cost.
It assumes a fixed number of anchors but handles mobility very well. The
computation and refining are not suitable for a resource-constrained computation
platform like a MicaZ node.
Range-free localization methods are typically used in systems where connectivity
is the metric of choice and actual geographic distance is less important. Hop
counting is a technique frequently used in these scenarios, where the distance
between two nodes is inferred from the number of hops a packet takes and is based
on some assumed or measured average hop length.
3. A major drawback is that it fails in networks with irregular topologies such as
those with a concave shape. Mobility incurs large overhead since all hop counts
must be refreshed frequently.
PROPOSED SYSTEM:
Fuzzy logic offers an inexpensive and robust way to deal with highly complex and
variable models of noisy, uncertain environments. It provides a mechanism to learn
about an environment in a way that treats variability consistently.
Fuzzy logic can similarly be applied to localization. Empirical measurements are
made between participating anchors in predictable encounters. These
measurements are analyzed to produce rules that are used by the fuzzy inference
systems, which interpret RSS input from unlocalized nodes and other anchors. The
output of this process recovers the actual distance, compensated for variability in
the local environment. This basic technique is employed in two constituent
subsystems of FUZLOC - the Fuzzy Multilateration System (FMS) and the Fuzzy
Grid Prediction System (FGPS).
4. In our proposed fuzzy logic-based localization system, distances between a mobile
sensor node and anchor nodes are fuzzified, and used, subsequently in a Fuzzy
Multilateration procedure to obtain a fuzzy location. In case two or more anchors
are not available for performing localization using fuzzy multilateration, the sensor
node employs a new technique, called fuzzy grid prediction, to obtain a location,
albeit imprecise.
In the Fuzzy Grid Prediction method, the node uses ranging information from any
available anchor to compute distances to several fictitious “virtual anchors” which
are assumed to be located in predetermined grids or quadrants. This allows the
node to locate the grid/quadrant in which it is present. In conventional localization
schemes, the location of a node is typically represented by two coordinates that
uniquely identify a single point within some two-dimensional area. Localization
using fuzzy coordinates follows a similar convention. The two dimensional
location of a node is represented as a pair (X, Y ), where both X and Y are fuzzy
numbers and explained below. However, instead of a single point, the fuzzy
location represents an area where the probability of finding the node is highest, as
depicted in Figure
5. MODULES:
A FUZZY LOGIC-BASED NODE LOCALIZATION FRAMEWORK
Module
Fuzzy Multilateration Module
Fuzzy Inference Module
System Implementation Validation Module
6. MODULE DESCRIPTION:
A FUZZY LOGIC-BASED NODE LOCALIZATION FRAMEWORK
Module
In this module, we develope a scenario with highly irregular radio ranges, typical
of harsh indoor or extremely obstructed outdoor environments. The irregularity in
the radio range is modeled in these simulators as a degree of irregularity (DoI)
parameter. The DoI represents the maximum radio range variation per unit degree
change in direction.
We define a harsh environment as one in which the distance between sender and
receiver cannot be accurately determined from the RSS alone, due to
environmental phenomena such as multipath propagation and interference
For more complete problem formulation we mention that the aforementioned
localization techniques assume that given a set of mobile sensor nodes, a subset of
nodes, called anchors, know their location in a 2-dimensional plane. Also, nodes
and anchors move randomly in the deployment area. Maximum velocity of a node
is bounded but the actual velocity is unknown to nodes or anchors. Nodes do not
7. have any knowledge of the mobility model. Anchors periodically broadcast their
locations. All nodes are deployed in a noisy, harsh environment and they do not
have any additional sensors except their radios.
Fuzzy Multilateration Module:
We present fuzzy multilateration, a component of our fuzzy inference process,
which obtains a node’s location from noisy RSS measurements, using fuzzy rule
sets.
Fuzzy Inference Module
We present a fuzzy grid prediction scheme, which optimizes our fuzzy inference
process, under conditions of low anchor density. However, in mobile sensor
networks with low anchor densities, it might frequently be the case that a node
does not have enough anchors for multilateration. To address this problem we
extend our fuzzy logic-based localization framework to predict an area, e.g., a cell
in a grid, where the node might be. The idea is inspired from cellular systems [21].
We propose to virtualize the anchors, so that a node is within a set of Virtual
Anchors at any point in time. A Virtual Anchor is a fictitious anchor which is
8. assumed to located at a known, fixed location in the field of deployment, the
distance to which can be found in an approximate way from the node. In FUZLOC,
we place virtual anchors at the center of every square cell that the field is divided
into, as described below. The key idea is that the nearer a node is to a virtual
anchor, the more likely it is that the node can be found in that cell.
System Implementation Validation Module
We perform extensive simulations and compare our solution with to state of the art
algorithms, using both real-world and synthetic data.
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
9. SOFTWARE REQUIREMENTS:
• Operating system : Windows XP.
• Coding Language : C#.NET
• Data Base : SQL Server 2005
• REPORT : EXCEL 2007
REFERENCE:
Harsha Chenji,Student Member, IEEE, and Radu Stoleru, Member, IEEE “Toward
Accurate Mobile Sensor Network Localization in Noisy Environments”- IEEE
TRANSACTIONS ON MOBILE COMPUTING, VOL. 12, NO. 6, JUNE 2013.