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To discover routes, the nodes in the ZigBee-based sensor network use a simplified AODV (ad-hoc on-demand distance vector). The AODV floods RREQ (route request) messages to find a route to a destination. However, the flooding of RREQ causes heavy loads in the network and it leads to significant delay in packet delivery. Especially, since a large portion of traffic is transmitted from sensor nodes to...
We herein propose an energy-efficient protocol for data collection in a large-scale wireless sensor network (WSN), called Broadcast and Collect (B&C), which broadcasts predicted sensor information and collects actual sensor information that differs significantly from that predicted based on past sensor information. The B&C method collects sensor information from large numbers of wireless sensor...
In this paper, we investigate the performance of quality of service (QoS) differentiation schemes for the IEEE 802.15.4 carrier sense multiple access with collision avoidance (CSMA-CA) protocol. The differentiation schemes provide QoS prioritization in terms of data latency and transmission reliability in wireless sensor networks. In the latency differentiation scheme (LDS), we use different strategies...
This work presents collaborative transport control protocol (CTCP), a new transport protocol for sensor networks. It aims at providing end-to-end reliability and adapts itself to different applications through a two level mechanism of reliability variation. CTCP achieves these properties using hop-by-hop acknowledgments and a storage control algorithm that operates at each node along a flow. It was...
A direct fire weapon (rifle) produces an impulsive sound (muzzle blast) associated with the firing of a bullet. If the bullet travels at a supersonic speed, another impulsive sound (ballistic shock wave) is generated by the passage of the bullet. A ballistic model-based method which uses both the acoustic muzzle blast and shock wave for ranging direct fire weapons is described. The effectiveness of...
This paper investigates the appropriateness of various features and classifiers to an interest classification task. The data for the task is obtained from various exhibitions of the Fish-Bird artwork. A number of features from the dataset are calculated and described, based on psychology literature on human motion. These features are used in both a Dynamic Bayesian Network classifier, and a Conditional...
The transmission and reception of sensor measures between nodes in distributed target tracking applications of wireless sensor networks is energy expensive. This paper shows that a selective transmission policy can be used to increase the network lifetime without reducing the accuracy of the target parameter (position, velocity) estimates in a significant manner. To do so, nodes compute an importance...
Typically, medium access control (MAC) protocols for wireless sensor networks implement synchronised periodic sleeping to conserve energy. We argue that (local) synchronisation between nodes is the main cause why MAC protocols do not efficiently support node mobility e.g. nodes waste valuable energy to resynchronise. In this paper, we present ideas on mobility support in schedule-based medium access...
Various routing structures have been proposed for the data gathering in wireless sensor networks, which are supposed to be efficient in terms of energy consumption and delivery delay. Unfortunately, most of these structures assume not only a static and stable network environment but also the network-wide information such as global topology. These assumptions lead to intolerable overhead in the construction...
A flexible data input layer architecture (FDILA) has been designed and developed by Tavakoli et al. for providing a generic tool to transfer data from a wide series of data acquisition devices into higher levels of information processing systems. Data collected by mobile devices such as GPS and PDA applications are among important inputs for evaluating environmental cause-effects. This work discusses...
Existing maximum likelihood (ML) channel estimation in orthogonal frequency division multiplexing (OFDM) systems requires knowledge of the effective length of the channel impulse response (CIR) to achieve the optimum performance. But it is very difficult to track effective length of the CIR in a practical system. By analyzing the relation between the performance of the ML estimation and the exactness...
Knee osteoarthritis (OA) can lead to pain and disability in the older population. Excessive loading has been suggested to contribute to the development of knee OA. In this paper, we investigated the frequency components in accelerometric signals of the tibia in the anterior-posterior (AP), medial-lateral (ML) and vertical (Vert) directions during walking between people with severe knee OA and asymptomatic...
The use of sensors in studies of human movement and gait is now fast gaining attention as a promising alternative to video capture systems in gait laboratories. Inertial sensors such as accelerometers and gyroscopes have been deployed to detect acceleration and angular velocities of body landmarks, from which secondary quantities such as velocity, displacement and joint angles could be inferred. The...
Intra-body communication (IBC) is an emerging and interesting communication technique for body sensor networks (BSN). It employs the human body as communication channel for transmitting signals in order to reduce electromagnetic interference and abundant cables often appeared in home health care devices. Currently researches, aim at developing the application of IBC in BSN, have been conducted by...
In this paper we propose a new Legendre Polynomials based ECG biometric technique that can efficiently be used for person indentification and authentication. we apply high-order Legendre Polynomials on QRS Complex of ECG which is considered one of the most unique signature bearing parts. We show that coefficients generated from various degrees of polynomial matchings are unique for the same person...
Obstructive sleep apnoea syndrome (OSA) is a very common disorder in breathing during sleep. OSA is considered as clinically relevant when the breath stops during more than 10 seconds and occurs more than five times per sleep hour. In this work, we investigate a noninvasive automatic approach to classify sleep apnoea events based on power spectral analysis for the feature extraction of the ECG records...
Automated seizure detection is important for speeding up epilepsy diagnosis or for controlling an implantable brain stimulator to avert seizures. Various features calculated from the electroencephalogram (EEG) can be used to detect seizures, and combining features can give superior detection performance. This paper investigates the correlation between seizure detection features in order to determine...
Within a smart home environment the information processing is supposed to be thoroughly integrated into everyday objects. This introduces the need to keep track of the everyday objects and their state changes produced based on the userpsilas interaction with them. Such information is useful in recognizing the userpsilas activities, situations, etc. In this paper we present a ZigBee communication protocol...
Wireless sensor network (WSN) is the hot research topic in the civil as well as military applications. Researchers are working in this area to boost it up according to the current needs and requirements. An efficient way to enhance the lifetime of the WSN is to partition the network into distinct clusters with a high-energy node called gateway as cluster-head. In this paper we present the cluster...
In resource constrained wireless sensor networks (WSN), it is highly desirable to make efficient use of available buffer. Hence for the WSN designed for the monitoring applications, buffer management is a key requirement at sensor nodes. We have proposed an efficient buffer management scheme based on random linear network coding as the in-network processing on data packets. With buffer allocation...
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