Clustering of sensor nodes has been shown to be an effective approach for Distributed Collaborative informationprocessing in resource constrained Wireless sensornetworks to keep network traffic local in order to red...
详细信息
ISBN:
(纸本)9781424415014
Clustering of sensor nodes has been shown to be an effective approach for Distributed Collaborative informationprocessing in resource constrained Wireless sensornetworks to keep network traffic local in order to reduce energy dissipation of long-distance transmissions. Defining the range and topology of clusters to reduce energy consumption and retransmissions due to collisions on shared radio channels is an ongoing research topic. One solution is to minimize overlapping cluster ranges to reduce signal contention, thus reducing the energy dissipation of collisions and retransmissions. In this paper we propose a Dynamic Cluster Formation (DCF) algorithm that dynamically groups a set of sensor nodes into a logical cluster-based sensing and processing unit, Collaborative Agent sensor Team (CAST), to detect and track localized phenomena. Each cluster head is selected locally such that the total overlap between clusters in a CAST is low and the coverage of each cluster head is high. We compare our approach with optimal solutions, and simulation results show the effectiveness and scalability of our CAST DCF algorithm.
In this paper, we investigated the performance of bird species recognition using neural networks with different preprocessing methods and different sets of features. Context neural network architecture was designed to...
详细信息
ISBN:
(纸本)9781424415014
In this paper, we investigated the performance of bird species recognition using neural networks with different preprocessing methods and different sets of features. Context neural network architecture was designed to embed the dynamic nature of bird songs into inputs. We devised a noise reduction algorithm and effectively applied it to enhance bird species recognition. The performance of the context neural network architecture was comparatively evaluated with linear/mel frequency cepstral coefficients and promising experimental results were achieved.
Wireless sensor Network (WSN) should be capable of fulfilling its mission, in a timely manner. Therefore, we propose a quantitative real-time model for multihop WSN. "Real-time degree" describes the percenta...
详细信息
ISBN:
(纸本)9781424415014
Wireless sensor Network (WSN) should be capable of fulfilling its mission, in a timely manner. Therefore, we propose a quantitative real-time model for multihop WSN. "Real-time degree" describes the percentage of real-time data that the network can deliver on time from any source to its destination. Most of network properties are considered as random variables and a queuing-theory based model is derived. In this model, the effect of network load on the packets' delay and the "real-timeliness" of the network are considered. Simulation results are used to validate the proposed model. The simulation results agree very well with the model.
Unlike conventional computer networks such as office LANs or the Internet which can be used for a host of applications, wireless sensornetworks are typically used for specific applications in mind. It is this fundame...
详细信息
ISBN:
(纸本)9781424415014
Unlike conventional computer networks such as office LANs or the Internet which can be used for a host of applications, wireless sensornetworks are typically used for specific applications in mind. It is this fundamental difference combined with the fact that energy efficiency is of paramount importance in wireless sensornetworks that a different approach needs to be taken when designing protocols. In this paper we first describe the main differences and benefits of the cross-layered techniques used for sensornetworks over the traditional OSI layered approach used for conventional networks. We then give two examples which illustrate how we extend usual sensor network cross-layered optimization by going beyond just MAC-routing optimizations to optimizations between the application and the MAC layers.
Wireless sensornetworks (WSN) are being widely studied through the last few years. Power limitation is considered as the most significant constraint since it directly influences the network lifetime and hence applica...
详细信息
ISBN:
(纸本)9781424415014
Wireless sensornetworks (WSN) are being widely studied through the last few years. Power limitation is considered as the most significant constraint since it directly influences the network lifetime and hence application quality of service (QoS). Different power-based routing and data gathering strategies are proposed in the literature. Most of them are driven for specific applications and/or specific network topologies. In this paper, we propose a Power based framework for heterogeneous cluster based sensornetworks. The proposed scheme simultaneously maximizes the application lifetime by fairly balancing energy consumption over the different sensors' activities. The proposed framework is then formulated as an optimization problem and performance results are presented.
This paper examines a sensor scheduling problem for target tracking using a network of distributed passive sensors. It considers how to schedule sensor activation to minimise bandwidth and battery usage while maintain...
详细信息
ISBN:
(纸本)9781424415014
This paper examines a sensor scheduling problem for target tracking using a network of distributed passive sensors. It considers how to schedule sensor activation to minimise bandwidth and battery usage while maintaining track accuracy. The sensor network is made up of simple acoustic, binary proximity sensors. Four different scheduling methods are considered. Two of these methods are heuristic while the other two are optimal, one-step ahead schedulers for differing objectives. The performance of all four algorithms is compared using simulations. The results show that it is possible to obtain adequate performance with only a subset of the sensor field active at any one time.
In humans, multijoint tasks are executed through the integration of sensory information, sensorimotor transformations and motor planning. Computational models can be profitably used to gain knowledge on the mechanisms...
详细信息
ISBN:
(纸本)9781424415014
In humans, multijoint tasks are executed through the integration of sensory information, sensorimotor transformations and motor planning. Computational models can be profitably used to gain knowledge on the mechanisms sub-serving these three aspects of motor control. In this general context, artificial neural networks represent a means to represent and interpret the movement of upper limb in normal and altered conditions. In the present work a controller of an upper human arm model based on an artificial neural network is being exposed to different conditions simulate altered force environment, to give insights on the adaptation ability of the human arm to environmental modifications such as the insertion of different force fields acting on the end-effector.
Wireless sensornetworks (WSNs) are a new technology foreseen to be used increasingly in the near future due to their data acquisition and data processing abilities. Security for WSNs is an area that needs to be consi...
详细信息
ISBN:
(纸本)9781424415014
Wireless sensornetworks (WSNs) are a new technology foreseen to be used increasingly in the near future due to their data acquisition and data processing abilities. Security for WSNs is an area that needs to be considered in order to protect the functionality of these networks, the data they convey and the location of their members. The security models and protocols used in wired and other networks are not suited to WSNs because of their severe resource constraints, especially concerning energy. In this article, we propose a centralized intrusion detection scheme based on Support Vector Machines (SVMs) and sliding windows. We find that our system can detect black hole attacks and selective forwarding attacks with high accuracy without depleting the nodes of their energy.
Collecting real-time data at appropriate temporal and spatial scales is critical to understanding complex environmental processes. The emerging generation of 'smart' sensors opens up a range of opportunities f...
详细信息
ISBN:
(纸本)9781424415014
Collecting real-time data at appropriate temporal and spatial scales is critical to understanding complex environmental processes. The emerging generation of 'smart' sensors opens up a range of opportunities for automated intelligent monitoring of natural systems. Scientific research and engineering development, requiring extensive cross disciplinary collaboration, is extending the existing monitoring in areas as diverse as marine, rainforest, riparian, lakes, agricultural environments. However the deployment of small energy efficient computers into a dynamic and often hostile situations requires careful planning, redundancy and robust designs. The data itself will contain more noise from an organic environment than an anthropogenic environment and be difficult to interpret statistically but the benefits are likely to alter the method that managers and researchers will interact with the environment. This paper explores the development status and directions of sensornetworks designed specifically for environmental monitoring.
This paper describes the design and installation of infrastructure to support a sensor network on Davies Reef in the Great Barrier Reef. This infrastructure incorporates a sensor gateway that provides an aggregation p...
详细信息
ISBN:
(纸本)9781424415014
This paper describes the design and installation of infrastructure to support a sensor network on Davies Reef in the Great Barrier Reef. This infrastructure incorporates a sensor gateway that provides an aggregation point for sensor data, a hybrid power supply and a high-speed microwave link. The resulting system is self-sufficient. It provides a robust interface for a planned sensor network in a location that has limited access and is in an extremely harsh environment.
暂无评论