Wireless Mobile Data Networks (66 results)

Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Condition: BUONO USATO. INGLESE Volume rilegato in cartoncino rigido plastificato, dalla copertina leggermente macchiata. Buonissimo lo stato di conservazione, pagine perfettamente tenute e candide, ricche di grafici, calcoli e tabelle esplicative, nel testo e fuori testo. Numero pagine 403.

Condition: New.

Condition: New. pp. 144.

Taschenbuch. Condition: Neu. Neuware -Mobile agent is a vehicle equipped with powerful transceiver and battery which finds the shortest path to gather data from the sensors and finally transports the data to the sink. The problem of minimizing the length of each data-gathering tour is mainly focused here. The mobile agent involves Bee Colony Optimization for travelling salesman problem. The Artificial Bee Colony algorithm (ABC) optimization is a population-based search algorithm which applies the concept of social interaction to problem solving. This algorithm is applied to the process of path planning problems for the mobile agents; it finds the shortest path for the mobile agents to collect the data from sensors as well as best in computation time. The effectiveness of the paths has been evaluated with the parameters such as tour length, agent travel time by Artificial Bee Colony Algorithm. This algorithm also prolong the lifetime of the sensors when compared to other existing approaches. Artificial Bee Colony algorithm has the advantages of strong robustness, fast convergence and high flexibility. This approach gives the best results for finding the shortest path in a shortest time.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Condition: New.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a systematic view of data services in heterogeneous wireless networks, from the perspectives of cause, governing rules, and impact of data's mobility on such networks. Specifically, it covers application requirements break-down, network modeling, performance analysis and evaluation by examining mobile data dynamics that are particularly important to data service provisioning. Additionally, application prospects such as information dissemination, fog computing, Internet-of-Things and dynamic spectrum access are discussed on the basis of these dynamics. Theoretic analysis, example illustrations, and algorithms are also presented to provide a concise coverage of this important area of networking.Mobile data dynamics refers to the stochastic processes of information, geographical coverage and spectrum, which accompanies the movements of data across wireless networks. Owing to the challenge raised by a high level of network heterogeneity, and the innate requirement on scalability, knowledge on the evolution of mobile data dynamics is essential to the design and deployment of emerging data services and applications, such as Internet-of-Things, data/task offloading and edge-based machine learning/inference.This book is designed for researchers and advanced-level students in the field of wireless networking and edge computing, who seek to understand the models and evolutions of mobile data dynamics for future edge applications. Practitioners, who specialize in the design, operation and maintenance of edge computing systems will also want to purchase this book as a reference.

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2023-11 Pages: 256 Publisher: Science Press Mobile Data Collection in Wireless Sensor Networks explains the basic theory. key technologies and recent new research results of mobile data collection in wireless sensor networks. and introduces in detail the application of modern communication technologies such as multi-user multiple-input multiple-output (MIMO) technology. space division multiple access (SDMA) technology. and concurrent data upload technolog.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 284.

Paperback. Condition: new. Paperback. Wireless Sensor Network is one of the well-known emerging technologies nowadays which has been widely employed in a broad range of applications. Wireless Sensor Network raises the interactions between humans and environment to a new level. In recent years, Wireless Sensor Network has attracted a lot of attention from researchers in both academic and industrial communities. As powered by small batteries, the scarce energy supply has constrained sensor node lifetime. this technology can replenish energy in a more controllable manner and does not require accurate location of or physical alignment to sensor nodes. Wireless Sensor Network consists of tiny, energy efficient sensor nodes communicating via wireless channels, performing distributed sensing and collaborative tasks for various monitoring applications include monitoring of temperature, humidity, vibrations, seismic events, pollution detection, etc. This research work investigates on improving the energy efficiency in Wireless Sensor Networks through the Energy Efficient Cluster based Multilevel Hierarchical Routing with Compressed Sensing based data aggregation. We aim at designing some deployable network protocols and the MC scheduling algorithms to fully exploit the strength of the charging technology and hence to maximize the network lifetime. First, a novel Energy Efficient Clustering technique for single hop Wireless Sensor Networks is proposed, which suits better for periodical data gathering applications. In Energy Efficient Clustering technique, the network is partitioned into a group of cluster regions with one Cluster Head for each cluster region. Energy Efficient Clustering uses a new method of election for cluster heads and cluster formation. The value of Cluster Head competition range produces a good distribution of cluster heads. The design principle of Energy Efficient Clustering is that the role of Cluster Head should be rotated among all nodes and the cluster sizes should be carefully determined at different parts of the network to minimize energy consumption and also to extend the network lifetime and energy efficiency. Analysis results in three hierarchical routing methods showing the E2C is much more effective in terms of energy efficiency in Wireless Sensor Networks compared with other methods. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.