The D-LPCN algorithm will find a minimal set of connected boundary nodes that have been deployed deterministically or randomly and which are situated on the boundary of a WSN.
Mar 13, 2020
Mar 1, 2017 · The D-LPCN algorithm will find a minimal set of connected boundary nodes that have been deployed deterministically or randomly and which are ...
The second advantage is that the algorithm can determine all the boundaries of the different connected parts of the network. The proposed algorithm is validated ...
In each iteration, any boundary node, except the first one, chooses its nearest polar angle node among its neighbors with respect to the node found in the ...
The second advantage is that the algorithm can determine all the boundaries of the different connected parts of the network. The proposed algorithm is validated ...
Jul 1, 2019 · In this work, we propose an enhancement for a recently published algorithm for boundary nodes detection, namely Distributed Least Polar-Angle ...
Bibliographic details on D-LPCN: A distributed least polar-angle connected node algorithm for finding the boundary of a wireless sensor network.
In each iteration, any boundary node, except the first one, chooses its nearest polar angle node among its neighbors with respect to the node found in the ...
The second advantage is that the algorithm can determine all the boundaries of the different connected parts of the network. The proposed algorithm is validated ...
D-LPCN: A distributed least polar-angle connected node algorithm for finding the boundary of a wireless sensor network release_lbxgr5d7qjepvnklq6apkscu5m. by ...