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Synopsis
For a wide spectrum of applications, the wireless sensor network (WSN) technology exhibited revolutionary advantages when compared to traditional solutions. Among all the energy-saving and network throughput improvement schemes, topology control has been well recognized as an effective one. In traditional topology control, a wireless network is represented using the deterministic model that assumes a pair of nodes is either connected or disconnected. Rich empirical studies have shown that in most practical environments, lossy links of intermittent connections account the dominating majority of WSNs because various reasons.By successfully leveraging these lossy links, higher energy-efficiency and network capacities are feasible. By traditional approaches, however, WSN topologies can hardly be well characterized. Motivated by this, we in this book discuss a new model call probabilistic topology control, fully taking the lossy links into account. We prove that in general PTC is a NP-hard problem. Based PTC we propose two algorithms CONREAP and BRASP, and one routing algorithm. Analysis and experimental results showed that these algorithms are very effectively.
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Probabilistic Topology Control in Wireless Sensor Networks
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LAP LAMBERT Academic Publishing Jan 2010, 2010
ISBN 10: 3838338391
ISBN 13: 9783838338392
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For a wide spectrum of applications, the wireless sensor network (WSN) technology exhibited revolutionary advantages when compared to traditional solutions. Among all the energy-saving and network throughput improvement schemes, topology control has been well recognized as an effective one. In traditional topology control, a wireless network is represented using the deterministic model that assumes a pair of nodes is either connected or disconnected. Rich empirical studies have shown that in most practical environments, lossy links of intermittent connections account the dominating majority of WSNs because various reasons.By successfully leveraging these lossy links, higher energy-efficiency and network capacities are feasible. By traditional approaches, however, WSN topologies can hardly be well characterized. Motivated by this, we in this book discuss a new model call probabilistic topology control, fully taking the lossy links into account. We prove that in general PTC is a NP-hard problem. Based PTC we propose two algorithms CONREAP and BRASP, and one routing algorithm. Analysis and experimental results showed that these algorithms are very effectively. 96 pp. Englisch. Seller Inventory # 9783838338392
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Probabilistic Topology Control in Wireless Sensor Networks : A New Hope
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838338391
ISBN 13: 9783838338392
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - For a wide spectrum of applications, the wireless sensor network (WSN) technology exhibited revolutionary advantages when compared to traditional solutions. Among all the energy-saving and network throughput improvement schemes, topology control has been well recognized as an effective one. In traditional topology control, a wireless network is represented using the deterministic model that assumes a pair of nodes is either connected or disconnected. Rich empirical studies have shown that in most practical environments, lossy links of intermittent connections account the dominating majority of WSNs because various reasons.By successfully leveraging these lossy links, higher energy-efficiency and network capacities are feasible. By traditional approaches, however, WSN topologies can hardly be well characterized. Motivated by this, we in this book discuss a new model call probabilistic topology control, fully taking the lossy links into account. We prove that in general PTC is a NP-hard problem. Based PTC we propose two algorithms CONREAP and BRASP, and one routing algorithm. Analysis and experimental results showed that these algorithms are very effectively. Seller Inventory # 9783838338392
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Probabilistic Topology Control in Wireless Sensor Networks
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For a wide spectrum of applications, the wireless sensor network (WSN) technology exhibited revolutionary advantages when compared to traditional solutions. Among all the energy-saving and network throughput improvement schemes, topology control has been w. Seller Inventory # 5414372
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Probabilistic Topology Control in Wireless Sensor Networks
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LAP LAMBERT Academic Publishing Jan 2010, 2010
ISBN 10: 3838338391
ISBN 13: 9783838338392
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -For a wide spectrum of applications, the wireless sensor network (WSN) technology exhibited revolutionary advantages when compared to traditional solutions. Among all the energy-saving and network throughput improvement schemes, topology control has been well recognized as an effective one. In traditional topology control, a wireless network is represented using the deterministic model that assumes a pair of nodes is either connected or disconnected. Rich empirical studies have shown that in most practical environments, lossy links of intermittent connections account the dominating majority of WSNs because various reasons.By successfully leveraging these lossy links, higher energy-efficiency and network capacities are feasible. By traditional approaches, however, WSN topologies can hardly be well characterized. Motivated by this, we in this book discuss a new model call probabilistic topology control, fully taking the lossy links into account. We prove that in general PTC is a NP-hard problem. Based PTC we propose two algorithms CONREAP and BRASP, and one routing algorithm. Analysis and experimental results showed that these algorithms are very effectively.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Seller Inventory # 9783838338392
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Probabilistic Topology Control in Wireless Sensor Networks: A New Hope
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