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  2. List of wireless sensor nodes - Wikipedia

    en.wikipedia.org/wiki/List_of_wireless_sensor_nodes

    A sensor node, also known as a mote (chiefly in North America), is a node in a sensor network that is capable of performing some processing [1], gathering sensory information and communicating with other connected nodes in the network. A mote is a node but a node is not always a mote.

  3. List of Arduino boards and compatible systems - Wikipedia

    en.wikipedia.org/wiki/List_of_Arduino_boards_and...

    BBFuino come with the ATmega328 controller, loaded with Optiboot (Arduino UNO's bootloader), compatible with Arduino IDE and sample code, design to fit breadboard for prototyping and learning, lower down the cost by taking out the USB to UART IC, so the board has the basic component to operate. BlockDuino [161] ATmega8 ATmega328 Blockduino

  4. Maze-solving algorithm - Wikipedia

    en.wikipedia.org/wiki/Maze-solving_algorithm

    Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.

  5. Sensor node - Wikipedia

    en.wikipedia.org/wiki/Sensor_node

    The controller performs tasks, processes data and controls the functionality of other components in the sensor node. While the most common controller is a microcontroller, other alternatives that can be used as a controller are: a general purpose desktop microprocessor, digital signal processors, FPGAs and ASICs.

  6. Join-based tree algorithms - Wikipedia

    en.wikipedia.org/wiki/Join-based_tree_algorithms

    At this point a new node with left child c, root k and right child t 2 is created to replace c. The new node may invalidate the balancing invariant. This can be fixed with rotations. The following is the join algorithms on different balancing schemes. The join algorithm for AVL trees:

  7. Self-balancing binary search tree - Wikipedia

    en.wikipedia.org/wiki/Self-balancing_binary...

    Most operations on a binary search tree (BST) take time directly proportional to the height of the tree, so it is desirable to keep the height small. A binary tree with height h can contain at most 2 0 +2 1 +···+2 h = 2 h+1 −1 nodes. It follows that for any tree with n nodes and height h: + And that implies:

  8. Barnes–Hut simulation - Wikipedia

    en.wikipedia.org/wiki/Barnes–Hut_simulation

    To calculate the net force on a particular body, the nodes of the tree are traversed, starting from the root. If the center of mass of an internal node is sufficiently far from the body, the bodies contained in that part of the tree are treated as a single particle whose position and mass is respectively the center of mass and total mass of the internal node.

  9. m-ary tree - Wikipedia

    en.wikipedia.org/wiki/M-ary_tree

    For an m-ary tree with height h, the upper bound for the maximum number of leaves is . The height h of an m-ary tree does not include the root node, with a tree containing only a root node having a height of 0. The height of a tree is equal to the maximum depth D of any node in the tree.