The Experts below are selected from a list of 7083 Experts worldwide ranked by ideXlab platform
Mohsen Guizani - One of the best experts on this subject based on the ideXlab platform.
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A Disaster Management-Oriented Path Planning for Mobile Anchor Node-Based Localization in Wireless Sensor Networks
IEEE Transactions on Emerging Topics in Computing, 2020Co-Authors: Xuan Yang, Wenbo Zhang, Mohsen GuizaniAbstract:The localization of sensor Nodes is a significant issue in wireless sensor networks (WSNs) because many applications cannot provide services without geolocation data, especially during disaster management. In recent years, a promising unknown-Nodes positioning method has been developed that localizes unknown Nodes, employing a GPS-enabled mobile Anchor Node moving in the network, and broadcasting its location information periodically to assist localization. In contrast to most studies on path planning that assume infinite energy of the mobile Anchor Node, the Anchor Node in this study, consumes different amounts of energy during phases of startup, turning, and uniform motion considering the aftermath of disasters. To enable a trade-off between location accuracy and energy consumption, a path-planning algorithm combining a Localization algorithm with a Mobile Anchor Node based on Trilateration (LMAT) and SCAN algorithm (SLMAT) is proposed. SLMAT ensures that each unknown Node is covered by a regular triangle formed by beacons. Furthermore, the number of corners along the planned path is reduced to save the energy of the mobile Anchor Node. In addition, a series of experiments have been conducted to evaluate the performance of the SLMAT algorithm. Simulation results indicate that SLMAT outperforms SCAN, LMAT, HILBERT, and Z-curve in terms of localization accuracy and energy consumption.
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a survey on mobile Anchor Node assisted localization in wireless sensor networks
IEEE Communications Surveys and Tutorials, 2016Co-Authors: Guangjie Han, Jinfang Jiang, Mohsen Guizani, Chenyu Zhang, Trung Q Duong, George K KaragiannidisAbstract:Localization is one of the key technologies in wireless sensor networks (WSNs), since it provides fundamental support for many location-aware protocols and applications. Constraints on cost and power consumption make it infeasible to equip each sensor Node in the network with a global position system (GPS) unit, especially for large-scale WSNs. A promising method to localize unknown Nodes is to use mobile Anchor Nodes (MANs), which are equipped with GPS units moving among unknown Nodes and periodically broadcasting their current locations to help nearby unknown Nodes with localization. A considerable body of research has addressed the mobile Anchor Node assisted localization (MANAL) problem. However, to the best of our knowledge, no updated surveys on MAAL reflecting recent advances in the field have been presented in the past few years. This survey presents a review of the most successful MANAL algorithms, focusing on the achievements made in the past decade, and aims to become a starting point for researchers who are initiating their endeavors in MANAL research field. In addition, we seek to present a comprehensive review of the recent breakthroughs in the field, providing links to the most interesting and successful advances in this research field.
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lmat localization with a mobile Anchor Node based on trilateration in wireless sensor networks
Global Communications Conference, 2011Co-Authors: Jinfang Jiang, Guangjie Han, Lei Shu, Mohsen GuizaniAbstract:Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile Anchor Node, e.g., GPS-equipped (Global Positioning System) Nodes, broadcasts its coordinates to locate unknown Nodes. In this case, a basic problem is the path planning of the mobile Anchor Node which should move along the trajectory to minimize the localization error and locate the unknown Nodes. In this paper, we propose a Localization algorithm with a Mobile Anchor Node based on Trilateration (LMAT). LMAT algorithm uses a mobile Anchor Node to move according to the equilateral triangle trajectory in deployment area. Simulation results show that the performance of our LMAT algorithm is better than that of other similar algorithms, e.g., SPIRAL, SCAN, DOUBLE SCAN and HILBERT algorithms.
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GLOBECOM - LMAT: Localization with a Mobile Anchor Node Based on Trilateration in Wireless Sensor Networks
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011Co-Authors: Jinfang Jiang, Guangjie Han, Lei Shu, Mohsen GuizaniAbstract:Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile Anchor Node, e.g., GPS-equipped (Global Positioning System) Nodes, broadcasts its coordinates to locate unknown Nodes. In this case, a basic problem is the path planning of the mobile Anchor Node which should move along the trajectory to minimize the localization error and locate the unknown Nodes. In this paper, we propose a Localization algorithm with a Mobile Anchor Node based on Trilateration (LMAT). LMAT algorithm uses a mobile Anchor Node to move according to the equilateral triangle trajectory in deployment area. Simulation results show that the performance of our LMAT algorithm is better than that of other similar algorithms, e.g., SPIRAL, SCAN, DOUBLE SCAN and HILBERT algorithms.
Hong-bin Wang - One of the best experts on this subject based on the ideXlab platform.
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Research on the single Anchor Node moving strategy based on the weighted virtual force mode
Cluster Computing, 2018Co-Authors: Lian-suo Wei, Hong-bin WangAbstract:The existing mobility strategy of the Anchor Node in wireless sensor network (WSN) has the shortcomings of too long moving path and low locating accuracy when the Anchor Node traverses the network voids area. A new mobility strategy of WSN Anchor Node is proposed based on an improved virtual forces model. The number of neighbor Nodes and the distance between the neighbor Nodes to the Anchor Nodes are introduced as their own dense weight attributes. The unknown Nodes intensity is used as weights to improve the traditional virtual force model. Using the number of messages received by the unknown Node as the parameters to calculate the virtual force from the unknown Node to the Anchor Node. Then according to the virtual force, choose the direction and move the Anchor Nodes. Simulation experiments show that the algorithm can make the Anchor Nodes move according to the specific circumstances of unknown Node distribution. It has a high locating accuracy and strong adaptability. It can successfully shorten the path of the Anchor Node movement. Moreover it can effectively avoid the Anchor Node to enter the network voids area and reduce the number of collinear virtual Anchor Nodes.
Sabu M Thampi - One of the best experts on this subject based on the ideXlab platform.
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fault resilient localization for underwater sensor networks
Ad Hoc Networks, 2017Co-Authors: Anjana P Das, Sabu M ThampiAbstract:Localization is one of the critical issues in underwater sensor networks (UWSNs) on grounds of environmental characteristics, mobility of sensor Nodes, and lack of global positioning system (GPS) services. Mobility modeling and fault tolerance with respect to underwater characteristics are extremely difficult. In this energy constraint network, an adaptive localization scheme with minimum communication and GPS support is required. We propose a fault-resilient localization scheme, which provides good localization accuracy with minimal communication overhead. To resile from an Anchor Node failure, a sensor Node predicts its position by learning the mobility behavior of its neighbors using multiple linear regression. Therefore, the data dissemination process can continue even after an unexpected case of Anchor Node failure. We simulate the network and analyze the localization accuracy. Several experiments with different test cases are conducted to analyze the validity of the location prediction system. Experimental results show that the last 10 location information from three immediate neighbors are adequate for accurate prediction and the localization scheme is well suited for medium-range UWSNs.
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single Anchor Node based localization in mobile underwater wireless sensor networks
International Conference on Algorithms and Architectures for Parallel Processing, 2015Co-Authors: Anjana P Das, Sabu M ThampiAbstract:Underwater Sensor Networks UWSN provide a promising solution for aquatic applications. Localization in Mobile Underwater Sensor Networks is very challenging because of the harsh environmental characteristics and limitations of radio communication. Minimization of energy utilization is another critical issue in UWSN domain. Hence, networking protocols with least communication overhead are desirable. In this paper, we propose a single Anchor Node based localization scheme to minimize communication packets required for location estimation. A sensor Node estimates its location using Time of Arrival and Angle of Arrival measurements. Location of mobile Anchor Nodes is updated periodically by adopting the mobility pattern of particles in ocean waves. We analyzed the performance of the scheme with real geographic coordinates of different locations in the Arabian ocean collected using Google Earth. Experimental results showed that the proposed method provided better performance for short range sensor Nodes.
Andersen, Marianne Klepp - One of the best experts on this subject based on the ideXlab platform.
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Analysis of forces in a subsea wellhead system supported by NeoDrill conductor Anchor Node
University of Stavanger Norway, 2015Co-Authors: Andersen, Marianne KleppAbstract:Master's thesis in Offshore technology : subsea technologyDuring drilling operations the marine drilling riser is exposed to environmental loads like waves and currents, as well as loads from the rig. These environmental loads are transferred from the riser to the wellhead system. Large bending loads will occur along the wellhead and conductor system. The loads will fluctuate in time and can cause fatigue damage accumulation at connectors and welds present in the system. At present, the fatigue performance is believed to be a concern for a growing number of operations. This report investigates how the distribution and magnitude of the bending loads will change in different conditions. This is done to identify a method to achieve an optimum distribution and position of critical bending moments. Additionally, a discussion on whether a change in distribution and magnitude of the bending moments will reduce fatigue accumulation in critical points is given. A global riser analysis is conducted using the computer software OrcaFlex to study how the bending moments behave under different conditions. The analysis is run for three different scenarios with the intention of comparing results. The results show that the bending moments will behave differently under various conditions. In soft soils, the largest bending moments will occur at a depth of 5 to 10 meters below the seabed surface. Furthermore, it is shown that the magnitude of the bending moments will increase in soft soils. The weight of the blow out preventer will also affect the bending moments. In soft soils, the lateral resistance is reduced, thus a lager lateral displacement of the blow out preventer can occur. The aforementioned can cause fatigue accumulation along critical hotspots within the wellhead and conductor system. The conductor Anchor Node is designed to carry heavy blow out preventers and gives the system a high lateral stiffness. The large bending moments occurring below the seabed surface will be reduced when the conductor Anchor Node is applied. The conductor Anchor Node will most likely reduce the fatigue accumulation at critical points below the seabed. Larger bending moments will occur on top of the conductor Anchor Node and will most likely expose connectors and welds above the seabed for somewhat increased fatigue damage. A wellhead support frame can be installed on top of the conductor Anchor Node to support the high-pressure wellhead. The wellhead support frame will increase the systems stiffness, thus larger bending moments will occur on top of the wellhead support frame. The results give a clear indication that a redistribution and change in magnitude of the bending moments are achievable. The conductor Anchor Node gives the engineers a tool enabling an optimized system for maximum fatigue life below seabed surface. Without the conductor Anchor Node there is no possibility to change the characteristics of the seabed. However, it is difficult to identify one method to achieve an optimal distribution and position of bending moments, but it is possible to redistribute the bending moments and shift the problem to less critical locations in the system
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Analysis of forces in a subsea wellhead system supported by NeoDrill conductor Anchor Node
University of Stavanger Norway, 2015Co-Authors: Andersen, Marianne KleppAbstract:During drilling operations the marine drilling riser is exposed to environmental loads like waves and currents, as well as loads from the rig. These environmental loads are transferred from the riser to the wellhead system. Large bending loads will occur along the wellhead and conductor system. The loads will fluctuate in time and can cause fatigue damage accumulation at connectors and welds present in the system. At present, the fatigue performance is believed to be a concern for a growing number of operations. This report investigates how the distribution and magnitude of the bending loads will change in different conditions. This is done to identify a method to achieve an optimum distribution and position of critical bending moments. Additionally, a discussion on whether a change in distribution and magnitude of the bending moments will reduce fatigue accumulation in critical points is given. A global riser analysis is conducted using the computer software OrcaFlex to study how the bending moments behave under different conditions. The analysis is run for three different scenarios with the intention of comparing results. The results show that the bending moments will behave differently under various conditions. In soft soils, the largest bending moments will occur at a depth of 5 to 10 meters below the seabed surface. Furthermore, it is shown that the magnitude of the bending moments will increase in soft soils. The weight of the blow out preventer will also affect the bending moments. In soft soils, the lateral resistance is reduced, thus a lager lateral displacement of the blow out preventer can occur. The aforementioned can cause fatigue accumulation along critical hotspots within the wellhead and conductor system. The conductor Anchor Node is designed to carry heavy blow out preventers and gives the system a high lateral stiffness. The large bending moments occurring below the seabed surface will be reduced when the conductor Anchor Node is applied. The conductor Anchor Node will most likely reduce the fatigue accumulation at critical points below the seabed. Larger bending moments will occur on top of the conductor Anchor Node and will most likely expose connectors and welds above the seabed for somewhat increased fatigue damage. A wellhead support frame can be installed on top of the conductor Anchor Node to support the high-pressure wellhead. The wellhead support frame will increase the systems stiffness, thus larger bending moments will occur on top of the wellhead support frame. The results give a clear indication that a redistribution and change in magnitude of the bending moments are achievable. The conductor Anchor Node gives the engineers a tool enabling an optimized system for maximum fatigue life below seabed surface. Without the conductor Anchor Node there is no possibility to change the characteristics of the seabed. However, it is difficult to identify one method to achieve an optimal distribution and position of bending moments, but it is possible to redistribute the bending moments and shift the problem to less critical locations in the system
Sangha Kim - One of the best experts on this subject based on the ideXlab platform.
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Anchor Node based virtual modeling of holes in wireless sensor networks
International Conference on Communications, 2008Co-Authors: Younghwan Choi, Soochang Park, Euisin Lee, Ye Tian, Minsuk Jin, Sangha KimAbstract:Geographic routing has been addressed in many literatures of ad hoc sensor networks due to its efficiency and scalability. Void areas (holes) bring geographic routing several problems such as excessive energy consumption and data congestion of hole boundary Nodes. Holes are hardly avoided in wireless sensor networks because of various actual geographical environments, e.g., puddles, buildings or obstacles, or uneven energy consumption, even physical destruction. To bypass holes, most existing geographic routing protocols tend to route data packets along the boundaries of holes by perimeter routing scheme. This scheme consumes more energy of the Nodes on the boundaries of holes, thus possibly enlarging the holes, we call this hole diffusion problem. In this paper, we propose Anchor Node based virtual modeling of holes in wireless sensor networks to solve the hole problems faced by geographic routing in wireless sensor networks. Simulation results show that the proposed protocol is superior to other protocols in terms of packet deliver ratio, control overhead, average delivery delay, and energy consumption.
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Anchor Node based sink location dissemination scheme for geographic routing
Vehicular Technology Conference, 2008Co-Authors: Younghwan Choi, Sangha Kim, Euisin LeeAbstract:Geographic routing is attractive in wireless sensor networks especially for scalability, as it is possible to scale the network size without increasing the signaling overhead, because routing decisions are inherently localized. Geographic routing requires the sources Nodes to be aware of the location of the sinks. Most of existing geographic routing protocols merely assume that the sources can get the location of sinks by some location service. How can source Nodes obtain the location of sinks is not addressed in detail. In this paper, we propose an Anchor Node based sink location dissemination scheme for geographic routing in wireless sensor networks. In this scheme, a source Node and a sink Node send sink location announcement and query messages along two paths respectively by geographic routing. The Node located on the crossing point of the two paths informs the source about the sink location. The challenge of this paper is that how to guarantee these two paths having at least one crossing point in any irregular profile of sensor network. Simulation results show that our protocol is significantly superior to other protocols in terms of energy consumption and control overhead.
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ICC - Anchor Node Based Virtual Modeling of Holes in Wireless Sensor Networks
2008 IEEE International Conference on Communications, 2008Co-Authors: Younghwan Choi, Soochang Park, Euisin Lee, Ye Tian, Minsuk Jin, Sangha KimAbstract:Geographic routing has been addressed in many literatures of ad hoc sensor networks due to its efficiency and scalability. Void areas (holes) bring geographic routing several problems such as excessive energy consumption and data congestion of hole boundary Nodes. Holes are hardly avoided in wireless sensor networks because of various actual geographical environments, e.g., puddles, buildings or obstacles, or uneven energy consumption, even physical destruction. To bypass holes, most existing geographic routing protocols tend to route data packets along the boundaries of holes by perimeter routing scheme. This scheme consumes more energy of the Nodes on the boundaries of holes, thus possibly enlarging the holes, we call this hole diffusion problem. In this paper, we propose Anchor Node based virtual modeling of holes in wireless sensor networks to solve the hole problems faced by geographic routing in wireless sensor networks. Simulation results show that the proposed protocol is superior to other protocols in terms of packet deliver ratio, control overhead, average delivery delay, and energy consumption.