Infrastructure-based wireless networks. – Limits? • What if – No infrastructure is available? – E.g., in disaster areas. – It is too expensive/inconvenient to set up . Example of Management Architecture: MANNA, Other Issues designed exposition of the important aspects of wireless sensor networks. The xi . Protocols and Architectures for Wireless Sensor Networks By Holger Karl, Andreas Willig. Wiley, New York, The slides linked to this page were prepared.
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Library of Congress Cataloging-in-Publication Data. Karl, Holger, Protocols and architectures for wireless sensor networks / Holger Karl,. Andreas Willig. Learn all you need to know about wireless sensor networks! Protocols and Architectures for Wireless Sensor Networks provides a thorough. Protocols and Architectures for Wireless Sensor Networks [Holger Karl, Andreas Willig] on tvnovellas.info *FREE* shipping on qualifying offers. Learn all you.
Protocols and Architectures for Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless sensor networks. The authors give an overview of the state-of-the-art, putting all the individual solutions into perspective with one and other. Numerous practical examples, case studies and illustrations demonstrate the theory, techniques and results presented. The clear chapter structure, listing learning objectives, outline and summarizing key points, help guide the reader expertly through the material. This text provides academic researchers, graduate students in computer science, computer engineering, and electrical engineering, as well as practitioners in industry and research engineers with an understanding of the specific design challenges and solutions for wireless sensor networks. It is by far the most complete source for wireless sensor networks
Numerous practical examples, case studies and illustrations demonstrate the theory, techniques and results presented.
The clear chapter structure, listing learning objectives, outline and summarizing key points, help guide the reader expertly through the material. Protocols and Architectures for Wireless Sensor Networks: Covers architecture and communications protocols in detail with practical implementation examples and case studies.
Provides an understanding of mutual relationships and dependencies between different protocols and architectural decisions. Offers an in-depth investigation of relevant protocol mechanisms.
Shows which protocols are suitable for which tasks within a wireless sensor network and in which circumstances they perform efficiently. Features an extensive website with the bibliography, PowerPoint slides, additional exercises and worked solutions. This text provides academic researchers, graduate students in computer science, computer engineering, and electrical engineering, as well as practitioners in industry and research engineers with an understanding of the specific design challenges and solutions for wireless sensor networks.
Check out www. It is by far the most complete source for wireless sensor networks The book covers almost all topics related to sensor networks, gives an amazing number of references, and, thus, is the perfect source for students, teachers, and researchers. Several strategies have been developed to optimize the power consumption increasing the network lifetime and increase the reliability increasing the probability of a packet being delivered of WSNs.
However, strategies to decrease the power consumption negatively affect the reliability of the network and vice versa. We can mention two strategies implemented in the protocol stack.
In the first, part of the network should work while others should sleep. This strategy is excellent for power consumption, but not for reliability [ 1 ]. Part of the network may become inaccessible because a WSN node may be sleeping. The second strategy creates multiple paths via a routing algorithm between a particular WSN node and the sink node.
Unlike the previous strategy, this strategy is excellent for reliability, but not for the power consumption; because it will use more than one way more WSN nodes to transmit the same packet. Hence, it is important to evaluate the WSN reliability considering the power consumption.
One way to evaluate the reliability of WSN is doing experiments with actual WSN nodes, inserting faults artificially [ 2 ] or analyzing them in actual scenarios [ 3 ]. However, these experiments tend to be boring, because they are manual and require a long time to get the data.
The other way to evaluate the reliability is by using simulation or analytical modeling. Works on simulation evaluate the WSN reliability by expressing the network behavior e. They use models that consider irregular propagation and interference by other elements e.
This is ideal to define and evaluate communication protocols. For example, Wang et al. However, this work does not consider that a fault can occur in the sensor node, and a simulation can take a long time to evaluate the entire network. These disadvantages are solved by analytical modeling, which evaluates the network through mathematical representations, such as Markov Chain, RBD and Tree Fault [ 1 ]. For example, Bein et al.
However, these models consider fixed reliability values for all WSN nodes and evaluate the reliability of the entire WSN instead of part of the network.
The methodology proposed by Silva et al. Additionally, they do not build reliability models considering the routing algorithm used in the WSN in such way that is difficult to evaluate some existing strategies like multiple paths.
Additionally, this model does not consider that different routing protocols interfere with the reliability of WSN. In this context, this paper proposes a model called Region Model to evaluate the reliability of each part region of a WSN.
The proposed model is constructed considering routing algorithms used in WSNs. Hence, it is possible to observe which WSN region needs more attention and demands particular actions like the addition of more sensor nodes or changing the routing algorithm.
Furthermore, the battery level is also explicitly considered as a key factor to evaluate the WSN reliability. A tooling is also proposed to facilitate the development and automate the evaluation of the WSN reliability. This paper has three unique contributions.