In this paper, we propose a market based dynamic bit allocation scheme for target tracking in energy constrained wireless sensornetworks using quantized data. We model the dynamic bit allocation problem as a market b...
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ISBN:
(纸本)9781479903566
In this paper, we propose a market based dynamic bit allocation scheme for target tracking in energy constrained wireless sensornetworks using quantized data. We model the dynamic bit allocation problem as a market based policy where the fusion center is the customer and sensors are the producers of the market. The fusion center releases the energy to purchase m-bit measurements from sensors in such a way that the trace of the posterior Cramer-Rao lower bound (PCRLB) on the mean squared error (MSE) is minimized sensors then compete to purchase the energy released from the fusion center and produce their m-bit quantized measurements which maximize their profit. Simulation results show that the market based dynamic bit allocation scheme achieves tracking performance close to the case where all the sensors report their most accurate information to the fusion center while the market based dynamic bit allocation scheme releases energy which is significantly less than the energy required to transmit all sensor data to the fusion center.
An embedded controller in green house is designed and analyzed in this paper, which is consisted of embedded terminal and wireless sensor node. The captured data by sensor nodes will be sent to the base station, after...
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sensornetworks suffer from limited capabilities such as bandwidth, low processing power, and memory size. There is therefore a need for protocols that deliver sensor data in an energy-efficient way to the sink. One o...
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ISBN:
(纸本)9781467355506;9780769549538
sensornetworks suffer from limited capabilities such as bandwidth, low processing power, and memory size. There is therefore a need for protocols that deliver sensor data in an energy-efficient way to the sink. One of those techniques, it gathers sensors' data in a small size packet suitable for transmission. In this paper, we propose a new Effective Data Aggregation Protocol (DAP) to reduce the energy consumption in Wireless sensornetworks (WSNs), which prolongs the network lifetime. This work uses in-network aggregation approach to distribute the processing all over the aggregation path to avoid unbalanced power consumption on specific nodes until they run out. Simulation results prove that DAP, compared to other protocols, achieves more data aggregation percentage and less power consumption for a one data harvesting round.
The cognitive radio technology has been adopted as a promised solution to deal with overcrowded problem in ISM band. In wireless sensornetworks, the cognitive radio technology enables sensor nodes to occupy licensed ...
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ISBN:
(纸本)9783037856529
The cognitive radio technology has been adopted as a promised solution to deal with overcrowded problem in ISM band. In wireless sensornetworks, the cognitive radio technology enables sensor nodes to occupy licensed band in opportunistic manner and introduces advantages of improving spectrum utilization and increasing system throughput. By considering the opportunistic spectrum access nature, in this paper, we aim to provide a stable path selection scheme for cognitive radio sensornetworks. The proposed routing protocol utilizes priori delivery information and derives a novel routing metric for the optimal path selection. The routing metric is derived from naive Bayes inference and used to indicate the path stability by means of delivery probability. We show through extensive simulations that the proposed routing protocol is efficient to find the most probable delivery path and increase the system throughput.
This article reviews recent advances and developments in the field of wearable sensors with emphasis on a subclass of these devices that are able to perform highly-sensitive electrochemical analysis. Recent insights i...
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This article reviews recent advances and developments in the field of wearable sensors with emphasis on a subclass of these devices that are able to perform highly-sensitive electrochemical analysis. Recent insights into novel fabrication methodologies and electrochemical techniques have resulted in the demonstration of chemical sensors able to augment conventional physical measurements (i.e. heart rate, EEG, ECG, etc.), thereby providing added dimensions of rich, analytical information to the wearer in a timely manner. Wearable electrochemical sensors have been integrated onto both textile materials and directly on the epidermis for various monitoring applications owing to their unique ability to process chemical analytes in a non-invasive and non-obtrusive fashion. In this manner, multi-analyte detection can easily be performed, in real time, in order to ascertain the overall physiological health of the wearer or to identify potential offenders in their environment. Of profound importance is the development of an understanding of the impact of mechanical strain on textile- and epidermal (tattoo)-based sensors and their failure mechanisms as well as the compatibility of the substrate employed in the fabrication process. We conclude this review with a retrospective outlook of the field and identify potential implications of this new sensing paradigm in the healthcare, fitness, security, and environmental monitoring domains. With continued innovation and detailed attention to core challenges, it is expected that wearable electrochemical sensors will play a pivotal role in the emergent body sensornetworks arena.
This paper presents the relative merits of IR and microwave sensor technology and their combination with wireless camera for the development of a wall mounted wireless intrusion detection system and explain the phases...
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This paper presents the relative merits of IR and microwave sensor technology and their combination with wireless camera for the development of a wall mounted wireless intrusion detection system and explain the phases by which the intrusion information are collected and sent to the central control station using wireless mesh network for analysis and processing the collected data. These days every protected zone is facing numerous security threats like trespassing or damaging of important equipments and a lot more. Unwanted intrusion has turned out to be a growing problem which has paved the way for a newer technology which detects intrusion accurately. Almost all organizations have their own conventional arrangement of protecting their zones by constructing high wall, wire fencing, power fencing or employing guard for manual observation. In case of large areas, manually observing the perimeter is not a viable option. To solve this type of problem we have developed a wall-mounted wireless fencing system. In this project I took the responsibility of studying how the different units could be collaborated and how the data collected from them could be further processed with the help of software, which was developed by me. The Intrusion detection system constitutes an important field of application for IR and microwave based wireless sensor network. A state of the art wall-mounted wireless intrusion detection system will detect intrusion automatically, through multi-level detection mechanism (IR, microwave, active RFID & camera) and will generate multi-level alert (buzzer, images, segment illumination, SMS, E-Mail) to notify security officers, owners and also illuminate the particular segment where the intrusion has happened. This system will enable the authority to quickly handle the emergency through identification of the area of incident at once and to take action quickly. IR based perimeter protection is a proven technology. However IR-based intrusion detection system
The concept of Soft Measurements as a natural Counterpart of Soft Computing is discussed. The differences between hard and soft measurements are shown. To do this main features of Wireless sensornetworks are consider...
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ISBN:
(纸本)9781479903481
The concept of Soft Measurements as a natural Counterpart of Soft Computing is discussed. The differences between hard and soft measurements are shown. To do this main features of Wireless sensornetworks are considered. The tight connections between soft measurements and mining data from sensornetworks are revealed. A new approach to soft measurements based on distributed cognition and information granularity is proposed. Such fundamental granulation concepts as granular algebraic system and fuzzy granular logical matrix are introduced, the notion of logical pragmatics is clarified. These basic concepts underlie the construction of logical granules. Two important sensor types for intelligentsensornetworks - Vassiliev's sensor and Belnap's sensor - are suggested, the representation of the latter by logical lattice and minimal bilattice is considered. A bilattice-based model of sensors communications and negotiations in sensor network is developed. Interpretations of basic granular pragmatic truth values for two communicating sensors are suggested. The map for dealing with different sensor data inconsistencies is constructed. The transition from crisp to fuzzy Belnap's sensors equipped by fuzzy pragmatics is justified. The fuzzy dialogue model in sensor network is developed.
The wireless sensornetworks (WSNs) are composed by the energy limited nodes. Data transmission can be decreased by exploiting both intra- and inter-signal correlation for saving energy consumption of nodes. In this p...
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ISBN:
(纸本)9781467362498;9781467362481
The wireless sensornetworks (WSNs) are composed by the energy limited nodes. Data transmission can be decreased by exploiting both intra- and inter-signal correlation for saving energy consumption of nodes. In this paper, a dynamic clustering algorithm was proposed by exploiting inter-signal correlation. The nodes can be divided into clusters according to their data's linear correlation by our proposed clustering algorithm. Based on clustering, we also proposed an energy efficient sampling method through joint linear regression and compressive sensing (CS). The proposed method can accurately reconstruct data of nodes by using significantly low sampling rate at each sensor. Our results based on real data sets indicate a reduction in sensor sampling by up to 71%.
E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver d...
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E-healthcare systems of Wireless Body Area Network(WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver data to a network coordinator for further processing. One of the major issues of such systems is energy efficiency, owing to the limited power supply and difficult replacement of batteries in some implanted sensors. Hence, developing an energy-efficient scheduling policy to prolong sensors' lifetime brings great significance to a WBAN. In this paper, we investigate the problem with Lyapunov optimization technique and propose a dynamic scheduling policy including sleep scheduling and opportunistic transmission, which takes into account time-varying channel condition. We demonstrate that our policy can push the energy consumption arbitrarily close to the global minimum solution while sustaining the network stability.
Wireless sensornetworks (WSNs) consists of a large number of low-power, limited-processing and limited-storage sensors, which is applied for all kinds of areas. In the paper, we introduce an energy efficiency trusted...
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