This paper studies means of archiving energy balance in Wireless sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been establi...
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ISBN:
(纸本)9781509014590
This paper studies means of archiving energy balance in Wireless sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been established, effective solutions for more realistic distributed settings are still an open research field. In this work, we present a novel approach for balancing energy in WSNs in a distributed manner by solving a sequence of modular strategic subgames. In addition, we prove theoretical bounds for its solution quality. To the best of our knowledge, we are the first to explicitly provide theoretical bounds for distributed WSN energy balancing schemes. We do so by formulating two specific routing games in which sensor nodes act as strategic agents with interests in energy balance. The first formulated game is a monotone utility game and by exploiting and adapting some existing results, we can prove a meaningful relative bound for its solution value via our distributed modular subgames scheme under realistic conditions. For the second game we provide an absolute bound. We round up our theoretical results by an experimental evaluation, where our modular subgames scheme shows increased performance compared to state-of-the-art algorithms.
In this paper, we introduce PIMAP, an IoT-based system for continuous, real-time patient monitoring that operates in a fully autonomous fashion, i.e. without the need for human intervention. To our knowledge, PIMAP is...
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ISBN:
(纸本)9781665439299
In this paper, we introduce PIMAP, an IoT-based system for continuous, real-time patient monitoring that operates in a fully autonomous fashion, i.e. without the need for human intervention. To our knowledge, PIMAP is the first open system that integrates the basic patient monitoring workflow for continuous and autonomous operation and includes sensed data collection, storage, analysis, and real-time visualization. PIMAP's open design allows it to integrate a variety of sensors (custom and off-the-shelf), analytics, and visualization. Other novel features of PIMAP include its deployment flexibility, i.e., its ability to be deployed in different configurations depending on the specific application needs, setting, and resources, as well as PIMAP's self-profiling and self-tuning capabilities. While PIMAP can be applied to various patient monitoring applications and settings, in this paper we focus on the unsolved problem of preventing pressure injuries.
In this paper, we focus on designing a holistic approach to gather, monitor and analyze heterogeneous sources on allergies and allergens into one system. The dimensions of mobile crowdsensing, the sensor-based measure...
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ISBN:
(纸本)9781728105703
In this paper, we focus on designing a holistic approach to gather, monitor and analyze heterogeneous sources on allergies and allergens into one system. The dimensions of mobile crowdsensing, the sensor-based measurements, and micro-blogging raw texts are combined to address all different situations and needs. We envision that our system can be used for public health monitoring in order to early predict allergy/allergens or allergy-related irritants outbreaks. To the best of our knowledge, our system is the first holistic approach of a surveillance system for allergy in the US region.
The deployment of embedded sensing devices on croplands and pastures is an enabling element for precision agriculture applications. Changing conditions (e.g., different crops being grown), however, may require the occ...
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ISBN:
(纸本)9781538654705
The deployment of embedded sensing devices on croplands and pastures is an enabling element for precision agriculture applications. Changing conditions (e.g., different crops being grown), however, may require the occasional reconfiguration of the resulting networks of wireless sensors, e.g., to modify data reporting rates or synchronize internal clocks. In this demo we showcase an opportunistic broadcast channel to forward such configuration messages to embedded systems. The transmitting station is realized by means of an electric fence energizer, a device frequently utilized in agricultural settings. On the receiver side, only little hardware efforts are required to capture the high-voltage pulses and decode transmitted configuration messages.
Collection of the sensed data in a wireless sensor network at one or more sink(s) is a well studied problem and there are a lot of efficient solutions for a variety of wireless sensor network configurations and applic...
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ISBN:
(纸本)9781479946181
Collection of the sensed data in a wireless sensor network at one or more sink(s) is a well studied problem and there are a lot of efficient solutions for a variety of wireless sensor network configurations and application requirements. These methods are often optimized towards collection of the sensed data at a predetermined base station or sink. This inherently reduces the agility of the wireless sensor network as the flow of information is not easily changeable after the establishment of the routing and data collection algorithms. This paper presents an efficient data dissemination method based on the compressed sensing theory that allows each sensor node to take the role of a sink. Agile sink selection is especially advantageous in scenarios where the sink or the end user of the wireless sensor network is mobile. The proposed method allows availing the global state of the environment by fetching a small set of data from any arbitrary node. Our evaluations prove the better performance of our technique over existing methods. Also a comparison with an oracle-based approach gives sufficient experimental evidences of a nearly optimal performance of our method.
Many wireless sensor networks rely on synchronization protocols to correlate measurements on different nodes. In order to save power in these applications, we consider two stages for the nodes as synchronization times...
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ISBN:
(纸本)9781538654705
Many wireless sensor networks rely on synchronization protocols to correlate measurements on different nodes. In order to save power in these applications, we consider two stages for the nodes as synchronization timeslot and the synchronous task that can run on different clock frequencies. Implemented on a Bluetooth Low Energy (BLE) chip, decreasing the clock frequency from 16 MHz to 1 MHz results in 2x and 7.5x reduction in crystal oscillator and timer run currents, respectively. Experimental results show that when the synchronization timeslot runs on the 16 MHz clock and then the clock frequency reduces to 1 MHz for executing the task, synchronization accuracies are similar to the case where only the high frequency clock is used.
We consider the group communication maintenance problem between a set of k mobile agents that are tracked by a static sensor network. We develop a scalable deterministic distributed algorithm for maintaining a Steiner...
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ISBN:
(纸本)9781479946181
We consider the group communication maintenance problem between a set of k mobile agents that are tracked by a static sensor network. We develop a scalable deterministic distributed algorithm for maintaining a Steiner tree of the agents so that group communication between them can be provided in the minimum cost possible. The main idea is that our algorithm maintains a virtual tree of mobile agents which can be immediately converted to an actual Steiner tree at all times. Our algorithm achieves the Steiner tree with total length at most O(log k) times the length of the minimum Steiner tree in the constant-doubling graph model. The total communication cost (messages) to maintain the Steiner tree is only O(min{log n, logD}) times the optimal communication cost, where n and D, respectively, are the number of nodes and the diameter of the network. We also develop improved algorithms for the k-center, sparse aggregation, and distributed matching problems. Experimental evaluation results show the benefits of our algorithms compared to previous algorithms. These four problems are NP-hard and, to the best of our knowledge, our algorithms are the first near-optimal deterministic algorithms for maintaining approximate solutions to these problems with low maintenance costs in a distributed setting.
With the reduction in size and cost of sensor nodes, dense sensor networks are becoming more popular in a wide-range of applications. Many such applications with dense deployments are geared towards finding various pa...
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ISBN:
(纸本)9781479946181
With the reduction in size and cost of sensor nodes, dense sensor networks are becoming more popular in a wide-range of applications. Many such applications with dense deployments are geared towards finding various patterns or features such as peaks, boundaries and shapes in the spread of sensed physical quantities over an area. However, collecting all the data from individual sensor nodes can be impractical both in terms of timing requirements and the overall resource consumption. Hence, it is imperative to devise distributed information processing techniques that can help in identifying such features with a high accuracy and within certain time constraints. In this paper, we exploit the prioritized channel-access mechanism of dominance-based Medium Access Control (MAC) protocols to efficiently obtain exterma of the sensed quantities. We show how by the use of simple transforms that sensor nodes employ on local data it is also possible to efficiently extract certain features such as local extrema and boundaries of events. Using these transformations, we show through extensive evaluations that our proposed technique is fast and efficient at retrieving only sensor data point with the most constructive information, independent of the number of sensor nodes in the network.
As a promising application in WSN, there is an anomaly detection using the sensor information. In the anomaly detection, to the acquired sensor information based on the abnormality of the water quality in rivers, dete...
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ISBN:
(纸本)9781467394697
As a promising application in WSN, there is an anomaly detection using the sensor information. In the anomaly detection, to the acquired sensor information based on the abnormality of the water quality in rivers, detects weather anomalies as familiar, it is to report to the user. Further, in the WSN, the problem sensor price and power consumption, it is difficult to provide all sensors required for anomaly detection in all nodes. Therefore, it is required to share the expensive sensors in the network. We propose an autonomous distributed WSN systems sharing a limited sensor resources at high speed between the nodes, with improved anomaly detection rate by the node in the WSN.
The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Self-localization is critical for large-scale sensor networks because manual or assisted localization is ...
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ISBN:
(纸本)0769523315
The process of computing the physical locations of nodes in a wireless sensor network is known as localization. Self-localization is critical for large-scale sensor networks because manual or assisted localization is often impractical due to time requirements, economic constraints or inherent limitations of deployment scenarios. We have developed a service for reliably localizing wireless sensor networks in environments conducive to ranging errors by using a custom hardware-software solution for acoustic ranging and a family of self-localization algorithms. The ranging solution improves on previous work, extending the practical measurement range threefold (20-30m) while maintaining a distance-invariant median measurement error of about 1% of maximum range (33cm). The localization scheme is based on least squares scaling with soft constraints. Evaluation using ranging results obtained from sensor network field experiments shows that the localization scheme is resilient against large-magnitude ranging errors and sparse range measurements, both of which are common in large-scale outdoor sensor network deployments.
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