The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The efficiency of communication between devices in low-speed networks is very important for their period of performance and life expectancy. In addition, development, simulation and optimization of new researching models before their practical realization leads to reduction of time and considerable financial resources. Here we explore energy efficiency of low-speed network configurations based on...
Wireless Sensor Network as an important technology of Internet of things' development, is more and more widely used in various research fields. This paper mainly researches the part of localization application based on wireless sensor network, focuses on DV-Hop localization algorithm, and gives its algorithm simulation and analysis of the simulation results. Also this paper improves the algorithm...
In recent years, wireless sensor network (WSN) achieved many accomplishments in theoretical studies and practical applications. However, WSNs are facing with many challenges, one of the biggest challenges that the energy source is limited and difficult to recharge. Clustering is the efficient technique used to extend the network lifetime through data aggregation. In this paper, we propose a new approach...
The traditional DV-HOP algorithm for three-dimensional localization precision is not good enough to use. Its positioning deviation is too large to find out the unknown nodes, and the scope of coverage is too small to find out all the nodes. Because of these shortcomings, a novel three-dimensional localization DV-Hop algorithm (NTLDV-HOP) is proposed. The proposed algorithm revises per jump distance...
Coverage control is one of the fundamental problems in WSN (wireless sensor network) and determines the ability to monitor the entire WSN system. Based on the Voronoi diagram and the CVT (Centralized Voronoi Tessellation) theory, and combined with the Lloyd's algorithm, we propose a dynamic covering algorithm of WSN to achieve a dynamic coverage among different areas by adjusting the geometric boundaries...
Data aggregation is an efficient way to prolong the lifetime of wireless sensor networks (WSNs) by reducing communication traffic. However, sensor nodes are usually deployed in harsh or hostile environments. They are easy to be malfunctioning or become compromised nodes, which makes the sensor data unreliable and affects the accuracy of data aggregation. This paper proposes a secure data aggregation...
To solve the problem that the localization accuracy of centroid algorithm depends heavily on the anchor density, an improved centroid algorithm based on possible position set is proposed. Firstly, the unknown node uses centroid algorithm to obtain a square region and then searches its possible position set in the square region. Finally, the centroid of all possible positions is the estimated coordinate...
Currently, most of node localization algorithms are designed based on the two-dimensional space, but the practical application is carried out in three-dimensional space. A three-dimensional node localization hybrid algorithm called DV-Hop-AC-PSO is proposed, which combines the advantages of DV-Hop, ant colony and particle swarm algorithm. In the proposed algorithm, particle swarm algorithm is adopted...
Localization algorithm is an important and challenging topic in today's wireless sensor networks (WSNs). In order to improve the localization accuracy, a weighted centroid localization algorithm based on least square to predict the location of any sensor in a WSNs is proposed in this paper. The proposed algorithm proposes a Least-Square-based weight model which can reasonably weigh the proportion...
Localization is essential in the field of wireless sensor networks (WSNs). Compared to other non-interactive localization algorithms, the weighted centroid localization scheme only uses the information of the received signal strength (RSS), which makes it simple to implement and robust to variation in the propagation environment. In this paper, we propose an improved weighted centroid localization...
Security is one of the most important issues in all the fields, wireless sensor networks is not an exception to this. Security in sensor networks can be achieved by data confidentiality, authentication, freshness, and integrity. One of the main mechanisms used for this purpose is encryption and decryption but due to resource constraints of the sensor nodes these mechanism may affect their performance...
In a wireless sensor network (WSN), sensor nodes are powered by batteries that can operate for only a short period of time, which results in short network lifetime. The short lifetime disables the application of WSNs for long term tasks such as structural health monitoring for bridges and tunnels, border surveillance, road condition monitoring, etc. In this paper the overall network lifetime is increased...
Wireless sensor networks have scarce energy resources. Improvement in power saving and network lifetime is of great significance. Idle sensors do contribute to power consumption as good as the working sensors. Wireless communication systems power consumption and network lifetime can be improved if idle sensors are brought to sleeping state. We explored state of the art in sensor sleeping strategies...
Spectrum sensing is an essential feature of Cognitive Radio (CR) that enables the nodes to determine the availability of the spectrum to be exploited. Recent work on CR propose localization of Primary Users (PUs) which enables CR nodes, also called Secondary Users (SUs), to utilize gray spectrum (occupied by PUs) by limiting their transmission power and hence not causing interference to PUs. Techniques...
Congestion is a problem of paramount importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources. Sensor nodes are prone to failure and the misbehavior of these faulty nodes creates further congestion. The resulting effect is a degradation in network performance, additional computation and increased...
Mass data are usually collected and processed in large and ultra large-scale wireless sensor networks, and this will greatly affect the life of intelligent sensors and the performance of network. In this paper, we propose an approach to reduce the collected data from wireless sensor networks by using compressed sensing method. Compressed sensing is a new sampling method that the data sampling and...
Automatic nodes location is a key supporting technology in WSN, and gains much more attention with the development of the modern network technology and wireless communication technology. In this paper, a novel locating method based on correlation analysis is presented. First, in order to get the accurate and valid data, the normalization procedure is applied on the original wireless information. Then,...
In this paper, an improved algorithm is proposed to estimate the multiple target location based on compressive sensing in wireless sensor networks. The targets may not exactly locate in the grid center point, which can induce localization errors. To improve the localization accuracy, we employ the multi-resolution analysis (MRA) to the greedy matching pursuit (GMP) algorithm. The proposed algorithm...
Compared with wired networks, ZigBee wireless sensor network (WSN) can not directly view the deployment of each device in the network, and observe the topology of the network, therefore bring inconvenience to the network administrator. To solve this problem, it needs to provide an intuitive visualization of the network topology. ZigBee WSN is based on this topology algorithm networking, and topology...
In this paper, a novel multidimensional scaling (MDS) method based on arrival of angular (AOA) measurements is proposed for passive emitter location in wireless networks. Simulations are included to contrast the estimator performance with conventional MDS algorithm and least square algorithm designed for AOA measurements.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.