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Van Renssen A. - One of the best experts on this subject based on the ideXlab platform.

  • Upper and Lower Bounds for Online Routing on Delaunay Triangulations
    2017
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points. The weight of each edge is the Euclidean distance between its two endpoints. A routing algorithm on G has a competitive ratio of c if the length of the path produced by the algorithm from any vertex s to any vertex t is at most c times the length of the shortest path from s to t in G. If the length of the path is at most c|[st]| (where |[st]| is the length of the line segment [st]), we say that the routing algorithm has a routing ratio of c. The routing algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G (for some integer constant (Formula presented.)) of the current position of the Message and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90. This improves upon the algorithm with best known routing ratio of 15.48. The algorithm is an adaptation, to the Delaunay triangulation, of the classic routing algorithm by Chew on the (Formula presented.)-Delaunay triangulation. It makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. This last requirement is an improvement over the best known online routing algorithms on the Delaunay triangulation which require the Header of a Message to also contain partial sums of distances along the routing path. We show that the routing ratio of Chew’s algorithm on the Delaunay triangulation can be greater than 5.72 so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) ratio of any deterministic k-local algorithm is at least 1.70 (resp., 1.33) for the Delaunay triangulation and 2.70 (resp. 1.12) for the (Formula presented.)-Delaunay triangulation. In the case of the (Formula presented.)-Delaunay triangulation, this implies that even though there always exists a path between s and t whose length is at most 2.61|[st]|, i

  • Upper and lower bounds for online routing on delaunay triangulations
    2015
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points whose weight is the Euclidean distance between its endpoints. A routing algorithm on G sends a Message from any vertex s to any vertex t in G. The algorithm has a competitive ratio of c if the length of the path taken by the Message is at most c times the length of the shortest path from s to t in G. It has a routing ratio of c if the length of the path is at most c times the Euclidean distance from s to t. The algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G of the Message’s current position (for constant k > 0) and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90, improving the best known routing ratio of 15.48. Our algorithm makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. We present a lower bound of 5.7282 on the routing ratio of our algorithm, so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) r

Bonichon N. - One of the best experts on this subject based on the ideXlab platform.

  • Upper and Lower Bounds for Online Routing on Delaunay Triangulations
    2017
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points. The weight of each edge is the Euclidean distance between its two endpoints. A routing algorithm on G has a competitive ratio of c if the length of the path produced by the algorithm from any vertex s to any vertex t is at most c times the length of the shortest path from s to t in G. If the length of the path is at most c|[st]| (where |[st]| is the length of the line segment [st]), we say that the routing algorithm has a routing ratio of c. The routing algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G (for some integer constant (Formula presented.)) of the current position of the Message and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90. This improves upon the algorithm with best known routing ratio of 15.48. The algorithm is an adaptation, to the Delaunay triangulation, of the classic routing algorithm by Chew on the (Formula presented.)-Delaunay triangulation. It makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. This last requirement is an improvement over the best known online routing algorithms on the Delaunay triangulation which require the Header of a Message to also contain partial sums of distances along the routing path. We show that the routing ratio of Chew’s algorithm on the Delaunay triangulation can be greater than 5.72 so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) ratio of any deterministic k-local algorithm is at least 1.70 (resp., 1.33) for the Delaunay triangulation and 2.70 (resp. 1.12) for the (Formula presented.)-Delaunay triangulation. In the case of the (Formula presented.)-Delaunay triangulation, this implies that even though there always exists a path between s and t whose length is at most 2.61|[st]|, i

  • Upper and lower bounds for online routing on delaunay triangulations
    2015
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points whose weight is the Euclidean distance between its endpoints. A routing algorithm on G sends a Message from any vertex s to any vertex t in G. The algorithm has a competitive ratio of c if the length of the path taken by the Message is at most c times the length of the shortest path from s to t in G. It has a routing ratio of c if the length of the path is at most c times the Euclidean distance from s to t. The algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G of the Message’s current position (for constant k > 0) and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90, improving the best known routing ratio of 15.48. Our algorithm makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. We present a lower bound of 5.7282 on the routing ratio of our algorithm, so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) r

Murray S Kucherawy - One of the best experts on this subject based on the ideXlab platform.

Perković L. - One of the best experts on this subject based on the ideXlab platform.

  • Upper and Lower Bounds for Online Routing on Delaunay Triangulations
    2017
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points. The weight of each edge is the Euclidean distance between its two endpoints. A routing algorithm on G has a competitive ratio of c if the length of the path produced by the algorithm from any vertex s to any vertex t is at most c times the length of the shortest path from s to t in G. If the length of the path is at most c|[st]| (where |[st]| is the length of the line segment [st]), we say that the routing algorithm has a routing ratio of c. The routing algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G (for some integer constant (Formula presented.)) of the current position of the Message and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90. This improves upon the algorithm with best known routing ratio of 15.48. The algorithm is an adaptation, to the Delaunay triangulation, of the classic routing algorithm by Chew on the (Formula presented.)-Delaunay triangulation. It makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. This last requirement is an improvement over the best known online routing algorithms on the Delaunay triangulation which require the Header of a Message to also contain partial sums of distances along the routing path. We show that the routing ratio of Chew’s algorithm on the Delaunay triangulation can be greater than 5.72 so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) ratio of any deterministic k-local algorithm is at least 1.70 (resp., 1.33) for the Delaunay triangulation and 2.70 (resp. 1.12) for the (Formula presented.)-Delaunay triangulation. In the case of the (Formula presented.)-Delaunay triangulation, this implies that even though there always exists a path between s and t whose length is at most 2.61|[st]|, i

  • Upper and lower bounds for online routing on delaunay triangulations
    2015
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points whose weight is the Euclidean distance between its endpoints. A routing algorithm on G sends a Message from any vertex s to any vertex t in G. The algorithm has a competitive ratio of c if the length of the path taken by the Message is at most c times the length of the shortest path from s to t in G. It has a routing ratio of c if the length of the path is at most c times the Euclidean distance from s to t. The algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G of the Message’s current position (for constant k > 0) and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90, improving the best known routing ratio of 15.48. Our algorithm makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. We present a lower bound of 5.7282 on the routing ratio of our algorithm, so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) r

Bose P. - One of the best experts on this subject based on the ideXlab platform.

  • Upper and Lower Bounds for Online Routing on Delaunay Triangulations
    2017
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points. The weight of each edge is the Euclidean distance between its two endpoints. A routing algorithm on G has a competitive ratio of c if the length of the path produced by the algorithm from any vertex s to any vertex t is at most c times the length of the shortest path from s to t in G. If the length of the path is at most c|[st]| (where |[st]| is the length of the line segment [st]), we say that the routing algorithm has a routing ratio of c. The routing algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G (for some integer constant (Formula presented.)) of the current position of the Message and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90. This improves upon the algorithm with best known routing ratio of 15.48. The algorithm is an adaptation, to the Delaunay triangulation, of the classic routing algorithm by Chew on the (Formula presented.)-Delaunay triangulation. It makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. This last requirement is an improvement over the best known online routing algorithms on the Delaunay triangulation which require the Header of a Message to also contain partial sums of distances along the routing path. We show that the routing ratio of Chew’s algorithm on the Delaunay triangulation can be greater than 5.72 so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) ratio of any deterministic k-local algorithm is at least 1.70 (resp., 1.33) for the Delaunay triangulation and 2.70 (resp. 1.12) for the (Formula presented.)-Delaunay triangulation. In the case of the (Formula presented.)-Delaunay triangulation, this implies that even though there always exists a path between s and t whose length is at most 2.61|[st]|, i

  • Upper and lower bounds for online routing on delaunay triangulations
    2015
    Co-Authors: Bonichon N., Bose P., De Carufel J.-l., Perković L., Van Renssen A.
    Abstract:

    Consider a weighted graph G whose vertices are points in the plane and edges are line segments between pairs of points whose weight is the Euclidean distance between its endpoints. A routing algorithm on G sends a Message from any vertex s to any vertex t in G. The algorithm has a competitive ratio of c if the length of the path taken by the Message is at most c times the length of the shortest path from s to t in G. It has a routing ratio of c if the length of the path is at most c times the Euclidean distance from s to t. The algorithm is online if it makes forwarding decisions based on (1) the k-neighborhood in G of the Message’s current position (for constant k > 0) and (2) limited information stored in the Message Header. We present an online routing algorithm on the Delaunay triangulation with routing ratio less than 5.90, improving the best known routing ratio of 15.48. Our algorithm makes forwarding decisions based on the 1-neighborhood of the current position of the Message and the positions of the Message source and destination only. We present a lower bound of 5.7282 on the routing ratio of our algorithm, so the 5.90 upper bound is close to the best possible. We also show that the routing (resp., competitive) r