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Nowadays, with the development of navigation and location, many kinds of outdoor locating methods are surveyed and used, such as Global Position System (GPS) and LTE fingerprint-based positioning system. However, as the most compelling focus, the localization accuracies of these systems are limited by the location systems themselves. Therefore, in order to improve the localization accuracy, we should...
Currently, the indoor navigation has attracted lots of attention and been considered as the most prominent technology in the future. However, the biggest obstacle that hinders the promotion of the indoor navigation is the cost of building floor map. In the unknown indoor environment, it will take a lot of resources to acquire or build indoor floor map. Therefore, in this paper, in order to reduce...
Multiple-input multiple-output (MIMO) systems have drawn great attention in recent years due to their high throughput achieved in wireless systems. To reduce the space signal interference, the base station needs to perform a user selection algorithm when the number of users is greater than the number of antennas. User fairness is an important indicator in non-uniform channel. However, there is no...
We present Task-D, a task-based distributed programming framework. Traditionally, programming for distributed programs requires using either low-level MPI or high-level pattern based models such as Hadoop/Spark. Task based models are frequently and well used for multicore and heterogeneous environment rather than distributed. Our Task-D tries to bridge this gap by creating a higher-level abstraction...
Specific to reliability and security issues in mobile ad hoc network, a trust evaluation model based on Dempster-Shafer evidence theory is proposed. Direct trust is calculated with historical interaction information and indirect trust is obtained from neighbor nodes' commendation evidences. The direct trust and indirect trust are combined according to Dempster rule after being amended with weight...
There are some challenges associated with the spectrum sensing for cognitive radio (CR), one main challenge of spectrum sensing is hardware requirements. The paper proposes the energy detection and a direct-conversion spectrum sensing receiver (DCSSR) to respond to the challenge of hardware requirements. However, the main problem is DC offsets of the DCSSR. A DC offset adaptive energy detection (DC-AED)...
The recently developed Threaded Many-core Memory (TMM) model provides a framework for analyzing algorithms for highly-threaded many-core machines such as GPUs. In particular, it tries to capture the fact that these machines hide memory latencies via the use of a large number of threads and large memory bandwidth. The TMM model analysis contains two components: computational complexity and memory complexity...
Vehicular communication, as a novel fundamental platform for providing wireless access, is drawing more and more attentions in recent years. IEEE 802.11p is a main radio access technology which supports communication for high mobility terminals. Due to the small coverage, road side unit (RSU) is usually deployed coupling with cellular network to achieve seamless mobility. In cellular/802.11p heterogeneous...
Process of spectrum allocation is equivalent of rental market in cognitive radio, in order to rent free spectrum of authorized users to cognitive users. the lessors of Spectrum( between authorized users )use the methods of competition between authorized users, Lessees of Spectrum( between cognitive users ) also used the methods of game, the spectrum allocation between authorized user and cognitive...
To solve the problem of low system yield of existing spectrum allocation algorithm in cognitive radio, an advanced algorithm based on system yield and maximal independent set (MIS) is proposed. The advanced algorithm is based on coloring model of spectrum allocation and the theory of MIS. The key part of this algorithm is to calculate priority of channels using system parameters such as amount of...
This paper proposes an ANFIS indoor positioning system based on improved genetic algorithm (GA). In the offline phase, fuzzy rules are abstracted by means of subtractive clustering algorithm with training data, generating the structure of each ANFIS positioning subsystem in X and Y directions. Then each positioning subsystem is trained with improved-GA. In this training algorithm, BP algorithm acts...
In this paper, we propose a variant of the QAP-based facility layout problem: the exclusion facility layout problem (EFLP). Based on Ant Colony algorithm, we design the modified ant algorithm for solving the facility layout problem (FLP). In addition, we also design the ant algorithm for EFLP by increasing the operator of making solution feasible. Analyze the impact of the different parameters values...
This paper proposes the optimal K nearest neighbors (KNN) positioning algorithm via theoretical accuracy criterion (TAC) in wireless LAN (WLAN) indoor environment. As far as we know, although the KNN algorithm is widely utilized as one of the typical distance dependent positioning algorithms, the optimal selection of neighboring reference points (RPs) involved in KNN has not been significantly analyzed...
Web service is an application program, which is based on internet, distributed, self-included, self-described and modular. It possesses the attributes of well encapsulation and loose coupling. With the prevailing of Web service, how to select a set of services among large body of services with the same function in order to make the Composite Web Service achieve better performance and better quality...
The problem, such as low efficiency in discovering resource, high usage of network bandwidth, is caused by the frequent mobility of nodes in peer-to-peer network. A self-organizing routing model in mobile peer-to-peer base on dynamic region management is proposed by dint of our improved Meridian model. According to the mobility strength of nodes and introduction of dynamic management, the proposed...
As a fingerprint match method, k-nearest neighbors (KNN) has been widely applied for indoor location in Wireless Local Area Networks (WLAN), but its performance is sensitive to number of neighbors k and positions of reference points (RPs). So fuzzy c-means (FCM) clustering algorithm is applied to improve KNN, which is the KNN-FCM hybrid algorithm presented in this paper. In the proposed algorithm,...
Based on the analysis of the EPC binary-tree algorithm, an improved algorithm is proposed. Compared with EPC binary-tree algorithm the proposed algorithm will get more efficiency, higher utilization, and much more precision with fewer slots.
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