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Explore the impact of cooperation on achieving full connectivity and percolation in large wireless networks. Analyze how nodes collaborate using noncoherent transmission models to reach distant nodes, forming larger clusters for extended network coverage. Investigate criteria for power summing and cooperation between nodes to enhance network connectivity. Study scenarios in which cooperation helps achieve full connectivity and percolation, focusing on the relationship between node density, network size, and cooperative behavior.
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S A R r Annual Conference of ITA ACITA 2009 d1 Full Connectivity and Percolation in Large Cooperative Wireless Networks r d2 Çağatay Çapar*, Dennis Goeckel*, Benyuan Liu†, Don Towsley*, and Liaoruo Wang‡ *Univ. of Massachusetts Amherst, †Univ. of Massachusetts Lowell, ‡ Cornell University What is Cooperation? Noncoherent Cooperation Model Sender Cooperation Each node itself can reach a radius r determined by: Receiver Cooperation (Pt : transmit power, a:path-loss exponent, t :power threshold for communication). R A The disconnected three-node network is now fully connected thanks to cooperation. Full Connectivity: Any node can talk to anyone. Percolation: Any given node belongs to an infinite cluster with positive probability. • Basic Idea: • S wants to talk to R, but R is too far away. • A and S cooperate and shout together and reach R. • R wants to talk to S, but S is too far away. • A and S cooperate and listen together and hear R. Power Summing: Two nodes can cooperatively connect to the third if: S We analyze to what extent cooperation can help full connectivity and percolation of large wireless networks. A group of nodes A can connect to B if : A Typical Proof Sketch Extended Networks Negative (α > 2 in 2-D): Positive (α≤ 2 in 2-D): We study cooperative extended networks which means: Network is infinitely large with a fixed finite node density λ. Nodes are distributed according to a Poisson distribution. Nodes can cooperate according to the noncoherent transmission model explained. • Find a very dense • group over a large • area (happens • with probability 1) • Connect that group • Now, use that initial • group to connect all • nodes in a larger • square. • Can show, with • appropriately sized • squares, that this • will continue without • fail. • There exists a • distance d such that, for a node with no neighbors within d, • the node is almost • surely disconnected. • There exists a node • with no neighbors • within d almost • surely somewhere • in the network. Process: Two nodes with radius r cooperate to reach farther than r, pull another node and form a bigger cluster, and so on… d (In both cases, the large size of the network is crucial: either for finding a large dense group to start the collaboration, or finding an isolated node.) Results