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Full-Text Articles in Physical Sciences and Mathematics

Improved Apit Localization Algorithm Based On Wireless Sensor Network, Wu Dong, Zhicheng Ji, Zhang Biao Jul 2020

Improved Apit Localization Algorithm Based On Wireless Sensor Network, Wu Dong, Zhicheng Ji, Zhang Biao

Journal of System Simulation

Abstract: To address the problems of Approximate Point-In-Triangulation Test (APIT) algorithm in Wireless Sensor Network requiring high anchor node density, Out-To-In or In-To-Out error judgment, nodes failure and so on, an improved APIT localization algorithm based on Wireless Sensor Network was proposed. The method based on directional searched node and combined with RSSI ranging calculation by Gaussian fitting method was used to deal with error judgment. Besides, a geometrical method was used to process the failure nodes. The simulation results show that the improved localization algorithm performs greatly better, both in positioning accuracy and number of error judgment, than the …


Improved Dv-Hop Localization Algorithm Based On Average Hopping Distance And Position Optimization, Zhipu Zhao, Wu Dong, Wang Yan, Zhicheng Ji Jun 2020

Improved Dv-Hop Localization Algorithm Based On Average Hopping Distance And Position Optimization, Zhipu Zhao, Wu Dong, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To overcome the low positioning accuracy caused by the imprecise estimated distance and the accumulative location error, an improved DV-Hop localization algorithm based on Wireless Sensor Network was proposed. This method, taking the summation of the beacon node average jump distance based on the weighted error correction as its average distance, was used to reduce the average jump distance error. Besides, an improved least square method was used to process the accumulative location error. The simulation results show that the improved localization algorithm performs greatly better, both in distance estimation and positioning accuracy, than the traditional DV-Hop localization algorithm, …


Study On Secrecy Capacity Of Wireless Sensor Networks Based On Amplify-And-Forward Compressed Sensing Scheme, Jianlan Guo, Yuqiang Chen, Yijun Liu Jun 2020

Study On Secrecy Capacity Of Wireless Sensor Networks Based On Amplify-And-Forward Compressed Sensing Scheme, Jianlan Guo, Yuqiang Chen, Yijun Liu

Journal of System Simulation

Abstract: Due to the limitation of wireless sensor nodes on computation, power energy and storage space, the security issue has become a prevalent concern in the wireless communication. A deep insight on the secrecy capacity of wireless sensor network based on the Amplify-and-Forward (AF) compressed sensing scheme was offered providing a corresponding calculable capacity threshold. Moreover, a feasible algorithm based on augmented Lagrange method for the reconstruction of communication signals was proposed. Furthermore, the impact of the secrecy capacity was discussed to various numbers of active sensor nodes, relay nodes and eavesdropper nodes. Simulation results demonstrate the validity of the …


Improving Performance Of Indoor Localization Using Compressive Sensing Andnormal Hedge Algorithm, Saeid Hassanhosseini, Mohammad Reza Taban, Jamshid Abouei, Arash Mohammadi Jan 2020

Improving Performance Of Indoor Localization Using Compressive Sensing Andnormal Hedge Algorithm, Saeid Hassanhosseini, Mohammad Reza Taban, Jamshid Abouei, Arash Mohammadi

Turkish Journal of Electrical Engineering and Computer Sciences

Accurate indoor localization technologies are currently in high demand in wireless sensor networks, which strongly drive the development of various wireless applications including healthcare monitoring, patient tracking and endoscopic capsule localization. The precise position determination requires exact estimation of the time varying characteristics of wireless channels. In this paper, we address this issue and propose a three-phased scheme, which employs an optimal single stage TDOA/FDOA/AOA indoor localization based on spatial sparsity. The first contribution is to formulate the received unknown signals from the emitter as a compressive sensing problem. Then, we solve an $\ell_1$ minimization problem to localize the emitter's …


Image Subset Communication For Resource-Constrained Applications In Wirelesssensor Networks, Sajid Nazir, Omar Alzubi, Mohammad Kaleem, Hassan Hamdoun Jan 2020

Image Subset Communication For Resource-Constrained Applications In Wirelesssensor Networks, Sajid Nazir, Omar Alzubi, Mohammad Kaleem, Hassan Hamdoun

Turkish Journal of Electrical Engineering and Computer Sciences

JPEG is the most widely used image compression standard for sensing, medical, and security applications. JPEG provides a high degree of compression but field devices relying on battery power must further economize on data transmissions to prolong deployment duration with particular use cases in wireless sensor networks. Transmitting a subset of image data could potentially enhance the battery life of power-constrained devices and also meet the application requirements to identify the objects within an image. Depending on an application's needs, after the first selected subset is received at the base station, further transmissions of the image data for successive refinements …


Formation Of A Wireless Sensor Network Using Custom-Designed Sensors Having Lowpower And Low Cost Components, Veysel Yaman Akgün, Engi̇n Maşazade Jan 2020

Formation Of A Wireless Sensor Network Using Custom-Designed Sensors Having Lowpower And Low Cost Components, Veysel Yaman Akgün, Engi̇n Maşazade

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we first design a sensor with low power and low cost components, namely an MSP430G2553 microcontroller (MCU), nRF24L01+ communication unit, and a light-dependent resistor (LDR). Then, connecting these custom-designed sensors with a central node, a fusion center (FC), we form a wireless sensor network (WSN) in which sensors measure light intensities and send their measurements to the FC for final inference. Since the default addressing structure of nRF24L01+ can simultaneously connect up to 6 devices, in order to have more connections, we define a new addressing scheme for the transmissions between sensors and the FC. Finally, as …