Results 1 - 10
of
18
An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools,” University Computing
"... Abstract. Nuclear power provides a significant portion of our current energy demand and is likely to become more wide spread with growing world population. However, the radioactive waste generated in these power plants must be stored for around 60 years in underwater storage pools before permanent d ..."
Abstract
-
Cited by 5 (0 self)
- Add to MetaCart
(Show Context)
Abstract. Nuclear power provides a significant portion of our current energy demand and is likely to become more wide spread with growing world population. However, the radioactive waste generated in these power plants must be stored for around 60 years in underwater storage pools before permanent disposal. These underwater storage environments must be carefully monitored and controlled to avoid an environmental catastrophe. In this paper, we present an underwater mobile sensor network that is being developed to monitor these waste storage pools. This sensing system will also be used in very old storage pools to build maps of their internal structure which can then be used for waste removal and pool decommissioning. In this paper, we outline the unique challenges of our application scenario which include robot localization in cluttered underwater environments and the effect of location errors on environment mapping. We also list other industrial applications that can benefit from our underwater sensor network. 1
Bio-inspired Communications for Coordination among Autonomous Underwater Vehicles
"... Abstract—To take measurements in space and time from the undersampled vast ocean, it is necessary to employ multiple autonomous underwater vehicles, such as gliders, that communicate and coordinate with each other. These vehicles need to form a team in a specific formation, steer through the 3D regi ..."
Abstract
-
Cited by 3 (3 self)
- Add to MetaCart
(Show Context)
Abstract—To take measurements in space and time from the undersampled vast ocean, it is necessary to employ multiple autonomous underwater vehicles, such as gliders, that communicate and coordinate with each other. These vehicles need to form a team in a specific formation, steer through the 3D region of interest, and take application-dependent measurements such as temperature and salinity. In this paper, bio-inspired underwater acoustic communication and coordination algorithms are proposed to enable glider swarming that is robust against acoustic channel impairments. Performance of the proposed algorithms is evaluated when i) number of vehicles, ii) team formation geometry, and iii) team target trajectory are provided. I.
Article A Topology Reorganization Scheme for Reliable Communication in Underwater Wireless Sensor Networks Affected by Shadow Zones
, 2009
"... sensors ..."
(Show Context)
The Impacts of Node Distribution on the Effective Transport Capacity of Ad Hoc Dispersed Spectrum Cognitive Radio Networks
"... Abstract — Cognitive radio networks that employ the dispersed spectrum utilization as spectrum access method are called dispersed spectrum cognitive radio networks. In this paper, we derive the effective transport capacity of adhoc dispersed spectrum cognitive radio networks in which the nodes are d ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
(Show Context)
Abstract — Cognitive radio networks that employ the dispersed spectrum utilization as spectrum access method are called dispersed spectrum cognitive radio networks. In this paper, we derive the effective transport capacity of adhoc dispersed spectrum cognitive radio networks in which the nodes are distributed in three dimensional (3D) configurations. The analysis is performed considering a cubic grid distribution for the node configuration and inter-node interference (INI). Numerical results are provided to show the effects of node distribution, fading, and modulation on the effective transport capacity of adhoc dispersed spectrum cognitive radio networks.
Discrete Particle Swarm Optimization Algorithm for Solving Optimal Sensor Deployment Problem
"... Abstract — This paper addresses the Optimal Sensor Deployment Problem (OSDP). The goal is to maximize the probability of target detection, with simultaneous cost minimization. The problem is solved by the Discrete PSO (DPSO) algorithm, a novel modification of the PSO algorithm, originally presented ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
(Show Context)
Abstract — This paper addresses the Optimal Sensor Deployment Problem (OSDP). The goal is to maximize the probability of target detection, with simultaneous cost minimization. The problem is solved by the Discrete PSO (DPSO) algorithm, a novel modification of the PSO algorithm, originally presented in the current paper. DPSO is generalpurpose optimizer well suited for conducting search within a discrete search space. Its applicability is not limited to OSDP, it can be used to solve any combinatorial and integer programming problem. The effectiveness of the DPSO in solving OSDP was demonstrated on several examples.
Routing with Bridging Nodes for Drifting Mobility
"... ABSTRACT Drifting with oceanic current forces is an unique mobility pattern for the underwater sensor networks. The different current velocities at the different depth levels and the periodic velocities can impact the three dimensional network deployment greatly over time. One outcome of such impac ..."
Abstract
- Add to MetaCart
(Show Context)
ABSTRACT Drifting with oceanic current forces is an unique mobility pattern for the underwater sensor networks. The different current velocities at the different depth levels and the periodic velocities can impact the three dimensional network deployment greatly over time. One outcome of such impact is the disruption to the network connectivity. In this paper, a routing protocol that utilizes the bridging nodes is introduced to tackle the connectivity problem. The protocol bears features that explore the unique mobility pattern and geological structure to suppress transmission overhead and improve energy efficiency.
Cross-layer Routing on MIMO-OFDM Underwater Acoustic Links
"... are experiencing a rapid growth, due to their high relevance to commercial and military applications such as oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, and tactical surveillance. However, the design of efficient communication protocols for underwa ..."
Abstract
- Add to MetaCart
(Show Context)
are experiencing a rapid growth, due to their high relevance to commercial and military applications such as oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, and tactical surveillance. However, the design of efficient communication protocols for underwater sensor networks is still an open research problem due to the unique characteristics of the underwater acoustic communication channel such as limited bandwidth, high and variable propagation delays, and significant multipath and scattering. In this paper, we consider multimedia underwater monitoring applications with heterogeneous traffic demands in terms of bandwidth and end-to-end reliability. Distributed routing algorithms are introduced for delay-insensitive and delay-sensitive applications, with the objective of reducing the energy consumption by i) leveraging the tradeoff between multiplexing and diversity gain that characterizes MIMO links, and ii) allocating transmit power on suitable subcarriers according to channel conditions and application requirements. To achieve the objective above, each node jointly i) selects its next hop, ii) chooses a suitable transmission mode, and iii) assigns optimal transmit power on different subcarriers to achieve a target level of Quality of Service (QoS) in a cross-layer fashion. Extensive simulation results demonstrate that our proposed protocol is adaptive to the unique characteristics of the underwater acoustic communication channel, and achieves excellent performance through local cooperations between transmitter and receiver. Index Terms—Underwater acoustic sensor networks, Routing algorithm, MIMO-OFDM, Cross-layer design, Performance evaluation
Tier-Based Underwater Acoustic Routing for Applications with Reliability and Delay Constraints
"... are experiencing a rapid growth, due to their high relevance to commercial and military applications such as oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, and tactical surveillance. However, the design of efficient communication protocols for underwa ..."
Abstract
- Add to MetaCart
(Show Context)
are experiencing a rapid growth, due to their high relevance to commercial and military applications such as oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, and tactical surveillance. However, the design of efficient communication protocols for underwater sensor networks is still an open research problem because of the unique characteristics of the underwater acoustic communication channel such as limited bandwidth, high and variable propagation delays, and significant multipath and scattering. In this paper, we introduce a tier-based distributed routing algorithm. The objective of the proposed algorithm is to reduce the energy consumption through adequate selection of the next hop subject to requirements on the end-to-end packet error rate and delay. The protocol is based on lightweight message exchange, and the performance targets are achieved through the cooperation of transmitter and available next hops. Index Terms—Underwater acoustic sensor networks, Routing algorithm, Cross-layer design. I.
UNDERWATER Acoustic Sensor Networks (UW-ASNs)
"... consist of stationary or mobile nodes such as Autonomous Underwater Vehicles (AUVs), which may be classified as propellerdriven vehicles and gliders, that are equipped with a variety of sensors for performing collaborative monitoring tasks. The missions entrusted to the AUVs in this work are critica ..."
Abstract
- Add to MetaCart
(Show Context)
consist of stationary or mobile nodes such as Autonomous Underwater Vehicles (AUVs), which may be classified as propellerdriven vehicles and gliders, that are equipped with a variety of sensors for performing collaborative monitoring tasks. The missions entrusted to the AUVs in this work are critical to human life and property, are bound by severe time and energy constraints, and involve a high degree of inter-vehicular communication. In this work, a task allocation framework for networked AUVs that participate as a team to accomplish critical missions is developed. The team formed as a result of this task allocation framework is the subset of all deployed AUVs that is best suited to accomplish the mission while adhering to the mission constraints. Research specific to this area has been limited, hence a task allocation framework for networked AUVs to accomplish critical missions is proposed.
Computer Communications xxx (2012) xxx–xxx Contents lists available at SciVerse ScienceDirect
"... Computer Communications journal homepage: www.elsevier.com/locate/comcom Team formation and steering algorithms for underwater gliders using ..."
Abstract
- Add to MetaCart
(Show Context)
Computer Communications journal homepage: www.elsevier.com/locate/comcom Team formation and steering algorithms for underwater gliders using