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Titlebook: Algorithmic Aspects of Wireless Sensor Networks; Second International Sotiris E. Nikoletseas,José D. P. Rolim Conference proceedings 2006 S

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Computing Bridges, Articulations, and 2-Connected Components in Wireless Sensor Networkswith an . message delivery semantics in time .(.) using at most 4. messages of length .(lg .). The algorithm does not assume a FIFO rule for message delivery. Previously known algorithms either use longer messages or need more time. The algorithm meets the requirements of wireless senor networks and
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Uniquely Localizable Networks with Few Anchorshe goal is to determine the location of all nodes. The localization problem is said to be solvable (or uniquely localizable) if there is a unique set of locations consistent with the given data. Recent results from graph rigidity theory made it possible to characterize the solvability of the localiz
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A Locating Method for Ubiquitous Robots Based on Wireless Sensor Networksensor field. For this, every sensor node should be aware of its own geographical location, which forces us to pay an expensive cost and make the size of sensor node larger. In this paper, we propose a cheap solution for positioning all sensor nodes without necessitating all sensor nodes in the field
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Declarative Resource Naming for Macroprogramming Wireless Networks of Embedded Systemsgram WNES as a whole (i.e., .) instead of several networked entities. DRN allows for a set of resources to be declaratively described by their run-time properties, and for this set to be mapped to a variable. Using DRN, resource access is simplified to only variable access that is completely network
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Equalizing Sensor Energy and Maximising Sensor Network Lifespan Using RETT self-healing so that they can be easily deployed and self-sufficient. A fundamental limitation with sensor networks is their limited life span because of their battery operation. To that end, much research has been carried out to maximize the life span of sensor networks through energy conservation
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On the Complexity of Minimizing Interference in Ad-Hoc and Sensor Networkstter than a logarithmic factor, unless . admits slightly superpolynomial time algorithms, for any of the above connectivity predicates. On a positive side, we show that any approximation algorithm for the problem of minimizing the total range assigned to the nodes in order to guarantee any of the ab
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Dental Pulp Is a Complex Adaptive System,tter than a logarithmic factor, unless . admits slightly superpolynomial time algorithms, for any of the above connectivity predicates. On a positive side, we show that any approximation algorithm for the problem of minimizing the total range assigned to the nodes in order to guarantee any of the ab
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Osteomyelitis of the Facial Skeleton a very simple strategy and prove that it is . -approximate for any chosen .> 0..Our results show that a . of the ring is an important computational and complexity factor for a network of mobile sensors operating in a ring.
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