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In this paper, we focus on selecting targeted number from private sensory data in the software-defined wireless sensor networks and propose a lottery secure multiparty computation protocol for the selection function based on the layered homomorphic encryption and the equivalent transformation of two arrays. We also prove that it is secure via real/ideal simulation paradigm, no matter the Web server...
A sensitivity analysis is developed for a direction of arrival (DOA) based source localization method in an Underwater Wireless Sensor Array Networks (UWSAN). It is assumed that each sensor array in a UWSAN will yield an estimate of directions of arrival of underwater acoustic sources (DOAs). By collecting all DOAs in a fusion center, a least square estimate of the location of each target may be obtained...
With the development of the third generation wireless communications technology, application fields of GPRS (General Packet Radio Service) are expanding. The data collection and wireless technology form wireless data acquisition and launch systems. It is widely used in water, electricity, gas and other auto-detection systems. In this paper, two parts are included. In hardware design part, wireless...
With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated...
With novel underwater wireless sensor array network architecture, the weighted least square (WLS) source localization method is developed. In this method, each sensor node is attached to a local sensor array which can estimated Signal-Noise-Ratio (SNR) as well the local direction-of-Arrival (DOA). Global localization can combined with estimated DOA selected by SNR. The target position can be fused...
In novel underwater wireless sensor array network architecture (UWSAN), each sensor node is attached to a local sensor array which performs maximum likelihood direction of arrival (DOA) locally. Sensor nodes communicate via acoustic channel and exchange DOA estimate and received target signal energy. Global DOA based localization is combined with energy in a non-linear least square cost function to...
A novel underwater wireless sensor array network architecture is proposed. In this wireless sensor network, the maximum likelihood estimate of target location based on amplitude and phase of acoustic signatures is developed. Each local likelihood function can be partitioned into the amplitude and phase portion. For each sensor node is attached to a local sensor array which can performs maximum likelihood...
This paper presents a robust distributed weighted least-square scaling localization algorithm based on the local network feature. It first filters out 1-hop gross ranging errors of the unknown nodes by using the threshold parameters of extreme ranging overestimates and extreme ranging underestimate with the local network feature, and then employs Gauss-kernel- weighted least squares to position nodes...
This paper presents a robust distributed localization approach which employs weighted least squares scaling with soft constrains. It incorporates the a priori deployment constraints, i.e., minimum and maximum node separation among 2-hop nodes, into localization as soft constraints and penalizes pairs of 2-hop nodes whose assigned coordinates violate the minimum and maximum constraints. Combined with...
Radio frequency identification (RFID) is a hot research topic in recent years. And connecting RFID readers to construct a mesh network, which is defined as RFID reader network herein, by short-range wireless technologies (such as ZigBee) is a promising architecture. RFID reader can sense (identify) persons, animals, vehicles and goods by interrogating transponders tagged on them. From this perspective,...
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