Energy Balanced Dispatch Of Mobile Sensor Nodes For Confident Information Coverage Hole Repairing In IoT

The Wireless Sensor Network(WSN)provides a powerful platform for most practical smart applications.Coverage holes caused by uneven distribution of nodes and uneven energy consumption during WSN deployment pose a huge challenge to the quality of service(QoS)of sensor networks.The quality of service takes into account the coverage,energy and connectivity of the Internet of Things and network lifetime.The currently applied mobile edge computing(MEC)can improve the utilization efficiency of limited resources of IoT nodes,and provides a new perspective for dealing with sensor network service quality challenges.Based on MEC and confident information coverage model,it focuses on how to solve the scheduling problem of mobile edge nodes and ensure the repair of confident information coverage hole.The algorithm is designed to maximize the network lifetime and ensure the connectivity of the sensor network.A repair algorithm aim to balanced the energy consumption of node,it is designed for the problem of coverage hole repair.It is a node scheduling algorithm that can adaptively sense the presence and movement of obstacles in the sensing area while balancing the energy consumption of each node.The algorithm sets a boundary threshold for each confident information coverage hole to limit the matching mobile nodes,and repeatedly updates the boundary threshold of the coverage hole using a reasonable contention matching mechanism,thereby avoiding the node moving distance being too long,and each node's energy consumption is too different.For obstacles present in the sensing region,the Dijkstra algorithm is selected to solve for the shortest path the node sends around the obstacle.To ensure connectivity of the sensor network,the algorithm recursively performs a breadth-first search(BFS)on the constructed undirected graph to find all broken subgraphs and schedules the mobile edge nodes to connect the two most recently subgraphs.Until the sensor network is all connected.In the fourth chapter,The balance algorithms of energy consumption algorithm are analyzed,the greedy algorithm and random algorithm with the coverage of confident information model are compared,also the balance consumption algorithm with disk model considered,which verifies that the propose method has better performance.For the network lifetime of the sensor network,we simulate from the four cases,the number of static nodes,the number of mobile nodes,the size of the sensing area and the RMSE threshold.The study found that the balance algorithm within the confident information coverage model has more perfect performance than the other three algorithms.Within simulate the energy dimension of the mobile node,the balance algorithm within the confident information coverage is more balanced than the other three algorithms;For node energy consumption of standard deviation standard deviation of propose algorithm is smaller than others,so can balance the energy consumption of each node,thereby extending the sensor network lifetime.Achieve our intended purpose.