Research On Energy Mechanism Of Nodes In Rechargeable Wireless Sensor Networks

In recent years,with the emergence of energy harvesting technologies,energy conversion technologies,and storage technologies,wireless sensor networks are likely to be free from constraints of limited energy,so rechargeable wireless sensor networks based on energy harvesting technologies have emerged.Although rechargeable wireless sensor networks have certain advantages in extending the network lifetime,there are also some new problems: since the energy obtained from the outside world is generally unstable,how to effectively distribute the energy to make the nodes charge and discharge reasonably and the energy consumption of its balance;In addition,due to the introduction of rechargeable nodes,traditional routing methods have been inappropriate,so how to establish a highly efficient energy-saving routing mechanism to provide better network services,has attracted the attention of scholars at home and abroad.In view of the above issues,this thesis combines the research techniques and methods at home and abroad to study the energy mechanism of rechargeable wireless sensor networks,including the energy allocation mechanism and routing mechanism.The specific research contents are as follows:1.For the problem of node energy allocation,an algorithm is proposed to minimize the variance of the energy distribution.The algorithm takes into account the battery capacity and the capacity of the channel and converts the energy allocation problem into the optimization problem.In addition,the algorithm maximizes data transmission capacity.Finally,experimental simulations show that the algorithm can balance the energy distribution of nodes,reduce the fluctuation of energy distribution,and provide a balanced and fair service for the network.2.In regard to the problem of inefficient use of energy and permanent operation of network in rechargeable wireless sensor networks,a multi-hop WSNs clustering algorithm is proposed.The algorithm implements energy-neutral constraints on nodes,that is,the energy consumed by a node during a period of time is less than or equal to the energy obtained from the outside world,which theoretically guarantees the long-term operation of the entire network.At the same time,the optimal data transmission period is calculated,the efficiency of node energy utilization is increased,and the network data transmission is maximized.The fuzzy logic is used to select the cluster head and comprehensively considers the remaining energy of the node,the distance from the node to the base station,and the percentage of neighboring threshold nodes,which improves the rationality of the cluster head election.Through simulation and verification,the algorithm can keep the network running for a long time,and its performance in terms of throughput and energy consumption is better than other clustering routing mechanisms.In addition,taking into account the actual situation,the battery charge times affect the battery life,and at the same time verify that the algorithm indirectly reduces the number of charging and reduces the battery life by reducing energy consumption.