mobile wireless sensor networks (191 Ergebnisse)

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208 pages Ex-Library book in good condition. 9783658054014 Sprache: Englisch Gewicht in Gramm: 330.

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Taschenbuch. Zustand: 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.

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Taschenbuch. Zustand: Neu. Neuware -A Redundancy Removal Data Collection Approach Based on Mobile Sink for Heterogeneous Sensor Networks is proposed which is using both the mobile sink approach and redundancy removal mechanism. In redundancy removal mechanism, the sensor nodes will sense the data and send it to the cluster head for the first time, but after that if the sensed data is same i.e. within the specified interval of time, then the nodes will send only the difference between the previously sent data and the current sensed data. If the sensed data is out of the specified range or interval , then node will send the complete data again. The proposed work reduces the number of bits to be transmitted over the network which decreases the energy consumption and hence increases network lifetime.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -Tracking mobile target in wireless sensors network targets involves finding out the location of mobile targets based on wireless sensor nodes with known positions. Target tracking deals with finding spatial coordinates of a moving object and being able to track its movements. One example is the application for positioning a mobile target based on received signal strength (RSSI) from a set of radio nodes placed at known locations. In this report, we are focusing on tracking mobile target application using fixed known sensors position. The main problem is to estimate the distances of the mobile target from the sensor nodes based on received signal strength (RSSI) and according to that the location will be estimated using the bounding box algorithm (Min-Max).Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

Taschenbuch. Zustand: Neu. Neuware -In recent years, advances in signal processing have led to small, low power, inexpensive Wireless Sensor Network (WSN). Target localisation and tracking problems in WSNs have received considerable attention recently, driven by the necessity to achieve higher localisation accuracy, lower cost, and the smallest form factor. This book includes five studies. The first study leads to the design and implementation of a triangulation-based localisation approach using RSS technique for indoor tracking applications. The second study concentrates on investigating a fingerprinting localisation method for indoor tracking applications. The third study focuses on designing and implementing a decentralised tracking approach for tracking multiple mobile targets with low resource requirements. The fourth study focuses on developing and designing a practical ZigBee-based tracking approach. The fifth study outlines designing and implementing an energy-efficient approach for tracking applications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch.

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Taschenbuch. Zustand: Neu. Neuware -Wireless sensor Networks: Vehicle and Space Applications describes the practical perspectives in using wireless sensor networks (WSN) to develop real world applications that can be used for space exploration. These applications include sensor interfaces, remote wireless vehicles, space crew health monitoring and instrumentation. The material discusses how applications of WSN originally developed for space travel and exploration are being applied and used in multiple real world applications, allowing for the development of smart systems that have characteristics such as self healing, self diagnosis, and emergency healthcare notification.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 260 pp. Englisch.

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paperback. Zustand: 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.

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paperback. Zustand: New. Language:Chinese.Paperback Pages Number: 142 With the development of wireless communications and microelectronics technology. mobile ad hoc networks and wireless sensor network is more extensive and in-depth applied to all aspects of life of the people's production. Network of wireless nodes with limited processing power. energy and bandwidth capacity is very limited. Between nodes is highly dependent on each other. with the other nodes to provide routing and other services. Therefore. energy.

Paperback. Zustand: 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.

paperback. Zustand: New. Paperback. Pub Date: 2017-05-01 Language: Chinese publisher: Northeastern University Press research on energy-balanced routing and non-line-of-sight mobile node location in wireless sensor networks based on the research results accumulated during the doctoral student's study. In this paper. the Energy Balance routing protocol in wireless sensor networks and the location technology of mobile nodes in non line-of-sight environment are analyzed.