Titlebook: Distributed Computing in Sensor Systems; 4th IEEE Internation Sotiris E. Nikoletseas,Bogdan S. Chlebus,Bhaskar K Conference proceedings 200

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書目名稱Distributed Computing in Sensor Systems影響因子(影響力)




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書目名稱Distributed Computing in Sensor Systems被引頻次學(xué)科排名




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書目名稱Distributed Computing in Sensor Systems讀者反饋學(xué)科排名

Graphite

The Different Types of Economic System the objects can freely move on the graph. Then, we describe some restrictions that can be imposed . either on the graph, on the object movements or both, to make MOTI problem always solvable. We also discuss the consequences of our results and present some related open problems.

改正

The Different Types of Economic Systemesults show that LiveNet is able to accurately reconstruct network topology, determine bandwidth usage and routing paths, identify hot-spot nodes, and disambiguate sources of packet loss observed at the application level.

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AMITY

AMITY

The Foundations of Experimental Physics the user-defined undesirable behavior. To evaluate the effectiveness of the tool, we have implemented the directed diffusion protocol and used our tool during the development process. During this process the tool was able to uncover two design bugs that were not addressed in the original protocol.

WAG

https://doi.org/10.1007/978-1-4899-1854-3nomial in . and 1/.. Here . denotes the dimension of the space where the wireless devices are distributed, so typically .?≤?3 and . describes the relation between the Euclidean distance between two stations and the power consumption for establishing a wireless connection between them. Using this . w

Arresting

Performance of a Propagation Delay Tolerant ALOHA Protocol for Underwater Wireless Networkstion delay increases, identifying which protocol parameter values realize the maximum throughput approximately. Although it turns out that exact expression for the maximum throughput of PDT-ALOHA can be quite complicated, we propose a useful simple expression which is shown numerically to be a very

脆弱么

On the Deterministic Tracking of Moving Objects with a Binary Sensor Network the objects can freely move on the graph. Then, we describe some restrictions that can be imposed . either on the graph, on the object movements or both, to make MOTI problem always solvable. We also discuss the consequences of our results and present some related open problems.