Precision Medicine (PM) employs varieties of smart equipment for customizing the therapy using molecular level analysis. Biosensors are considered among the main smart equipment in the PM. There are different challeng...
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ISBN:
(纸本)9781728106731
Precision Medicine (PM) employs varieties of smart equipment for customizing the therapy using molecular level analysis. Biosensors are considered among the main smart equipment in the PM. There are different challenges in biosensor application that among them energy harvesting is selected to be the focus of this paper through oxidation of blood sugars by enzymatic implanted biobatteries. Here, the used biobatteries are applied to recharge the biosensors which are in the powered-down state. The place of each biobattery is known and considered as an anchor point. However, the place of each powered-down biosensor is estimated using localization algorithms such as distance-based localization and Extended Kalman Filter (EKF). The biosensors will be recharged if they are in the area of biobatteries. The proposed approach outperforms the rest by using autonomous energy harvesting, precise location estimation and no need for external energy or invasive methods for biosensors recharging.
The paper considers the possibility of using the seismic event localization algorithm for localizing objects of the geophysical model of the environment. When adapting this algorithm the localization algorithm for poi...
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ISBN:
(纸本)9781728129860
The paper considers the possibility of using the seismic event localization algorithm for localizing objects of the geophysical model of the environment. When adapting this algorithm the localization algorithm for point objects and the localization algorithm of objects of a certain form are proposed.
localization of sensor nodes is a key technology in Wireless Sensor Networks(WSNs). Trilateration is an important position determination strategy. To further improve the localization accuracy, a novel Trilateration ba...
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localization of sensor nodes is a key technology in Wireless Sensor Networks(WSNs). Trilateration is an important position determination strategy. To further improve the localization accuracy, a novel Trilateration based on Point In Triangle testing localization (TPITL) algorithm is proposed in the paper. Unlike the traditional trilateration localization algorithm which randomly selects three neighbor anchors, the proposed TPITL algorithm selects three special neighbor anchors of the unknown node for trilateration. The three anchors construct the smallest anchor triangle which encloses the unknown node. To choose the optimized anchors, we propose Point In Triangle testing based on Distance(PITD) method, which applies the estimated distances for trilateration to reduce the PIT testing errors. Simulation results show that the PIT testing errors of PITD are much lower than Approximation PIT(APIT) method and the proposed TPITL algorithm significantly improves the localization accuracy.
In this paper, a novel iterative localization algorithm based on improved particle swarm optimization (PSO) is proposed for monitoring environment like lakes, rivers or other water bodies. The first step of this algor...
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In this paper, a novel iterative localization algorithm based on improved particle swarm optimization (PSO) is proposed for monitoring environment like lakes, rivers or other water bodies. The first step of this algorithm is to get the position of some unknown nodes by using improved PSO algorithm. The second step is to locate other nodes by using these unknown nodes in first step as new anchor nodes. The localization problem of island node in sparse distributed grid is solved by introducing adaptive mobile node in this paper. The simulation results show that the algorithm has the advantages of small location error and little influence by environmental factors.
Monitoring in real-time and autonomously the health state of aeronautic structures is referred to as Structural Health Monitoring (SHM) and is a process decomposed in four steps: damage detection, localization, classi...
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Location is an indispensable segment for Wireless Sensor Network (WSN), since when events happened, we need to know location. The distance vector-hop (DV-Hop) technique is a popular range-free localization algorithm d...
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Location is an indispensable segment for Wireless Sensor Network (WSN), since when events happened, we need to know location. The distance vector-hop (DV-Hop) technique is a popular range-free localization algorithm due to its cost efficiency and non-intricate process. Nevertheless, it suffers from poor accuracy, and it is highly influenced by network topology;Especially, more hop counts lead to more errors. In the final phase, least squares are employed to address nonlinear equation, which will gain greater location errors. Aimed at addressing problems mentioned above, an enhanced DV-Hop algorithm based on weighted factor, along with new weighted least squares location technique, is proposed in this paper, and it is called WND-DV-Hop. First, the one hop count of unknown node was corrected by employed received signal strength indication (RSSI) technology. Next, in order to reduce average hop distance error, a weighted coefficient based on beacon node hop count was constructed. A new weighted least squares method was embedded to solve nonlinear equation problem. Finally, considerable experiments were carried out to estimate the performance of WND-DV-Hop, compared the outcomes with state-of-the-art DV-Hop, IDV-Hop, Checkout-DV-Hop, and New-DV-Hop depicted in literature. The empirical findings demonstrated that WND-DV-Hop significantly outperformed other localization algorithms.
Unmanned Aerial Vehicle (UAV) is a new type of flying work tool with the ability to execute tasks. Under strong electromagnetic interference, communication can be carried out by ultraviolet (UV).Ultraviolet Communicat...
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ISBN:
(数字)9781510631748
ISBN:
(纸本)9781510631748
Unmanned Aerial Vehicle (UAV) is a new type of flying work tool with the ability to execute tasks. Under strong electromagnetic interference, communication can be carried out by ultraviolet (UV).Ultraviolet Communication was a communication mode used 200nm similar to 280nm wavelength ultraviolet light as an information carrier. It has the advantage of all-weather operations, non-line-of-sight (NLOS) communication and strong anti- interference. When performing a mission, the UAV formation usually needs to form a fixed formation during the flight to ensure the stability of the link communication network. Moreover, due to the limited energy carried by the UAV, the energy consumption of UAV network should be reduced as much as possible on the basis of maintaining communication in order to maximize the flight time of UAV. The UAVs form persistent formation that need to know the location information of all the UAVs in the formation. When the GPS is not working properly, a kind of two dimensional (2D) localization algorithm which based on the wireless UV ranging method provides relative location information for the UAV formation. This paper proposes a persistent formation generation algorithm for the location information of UAVs that are not shared, the algorithm enables the UAV formation to generate a stable network topology with the least communication links and low energy consumption.
In these years, wireless applications based on subscriber location information have been receiving more attention. One of the most popular research areas is radio location techniques of wireless cellular networks. RBF...
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ISBN:
(纸本)9781509064151;9781509064144
In these years, wireless applications based on subscriber location information have been receiving more attention. One of the most popular research areas is radio location techniques of wireless cellular networks. RBF neural network(Radial Basis Function Network) is a typical supervised learning feedforward neural network. Taylor-series expansion location algorithm based on the RBF neural network was proposed in some papers. In this paper, an adjustable localization algorithm with more accurate and lower cost is proposed. The simulation results indicate that this algorithm can obtain different RMSE performance with decision threshold E. When threshold E is low value, the performance is better than Chan's algorithm, LS's algorithm, Taylor's algorithm and LS-Taylor's algorithm in NLOS environment.
Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algor...
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ISBN:
(纸本)9781457720727
Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.
To improve the accuracy of CC2431-based Zigbee locating system in the indoor environment, a localization algorithm is proposed. Multipath propagation and Corrected multi path fading coefficient is investigated for the...
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ISBN:
(纸本)9781457715846
To improve the accuracy of CC2431-based Zigbee locating system in the indoor environment, a localization algorithm is proposed. Multipath propagation and Corrected multi path fading coefficient is investigated for the relationship of received signal strength (RSS) and distance. Window Mean Exponentially Weighted Moving Average (WMEWMA) is adopted to smooth the signal propagation exponent (SSPE) and averaged RSSI is used to soften fluctuations. We also incorporate preprocess methods to minimize the effect of multipath propagation, such as arranging reference nodes' position, calibrate RSSI value for location engine in CC2431, lower the output power level and shut down irrelevant wireless nodes. Experimental results show that the precision of the indoor location system is improved and the proposed algorithm is stable. Combining preprocess methods and SSPE successfully reduce the influences of unpredictable multipath propagation when indoor localization system is working.
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