Research On Energy-efficient Data Aggregation In WSN

Recently wireless sensor network(WSN) has become one of the most interesting networking technologies since it can be deployed without communication infrastructures. One of the advantages of wireless sensors networks(WSNs) is their ability to operate unattended in harsh environments in which contemporary human-in-the-loop monitoring schemes are risky, inefficient and sometimes infeasible. Therefore, sensors are expected to be deployed randomly in the area of interest by a relatively uncontrolled means, e.g. dropped by a helicopter, and to collectively form a network in an ad-hoc manner. However, they are limited in power, and it is not easy to replace batteries or add energy. Add, interference or virus attacks can cause errors in the sensor data or the transmission of data in the process of failure, which will affect the quality of service. The re transmission of data can also cause the waste of energy. So how to reduce energy consumption and its trust management method has become the focus of attention.As the wireless sensor network can provide a very convenient service, so it is widely used in the field of application, and thus become one of the hot spots in the current research. However, the sensors are constrained in resources supply, and there are security risks, so this paper based on data fusion, focusing on the clustering algorithm and reputation management algorithm. The main work and research results are as follows:(1) A new energy-efficient algorithm for the main reserve of WSN cluster head is proposed. For wireless sensor network node random dense distribution characteristics and the cluster head nodes are energy constrained problem proposed cluster based on the main and backup cluster head node algorithm based on subtractive clustering. At the same time, the hardware of energy detection technology detects node energy state, which is used to determine whether the cluster head needs to be switched. The algorithm is the standby cluster head node is dormant. Only when the main cluster head node energy is insufficient, the standby head node will start work. The simulation results show that the main spare cluster head can improve the survival time of the whole network.(2) An Improved Algorithm of Node Credibility for Lightweight WSN is proposed. Sensor nodes will inevitably fail or be attacked by a virus, which will result in the transmission of data errors or failures. In order to ensure the reliability of the sensor network and avoid unnecessary energy loss, this paper improves the LTMBE algorithm. The new algorithm is based on the quality of the node to transmit data, the node to reward or punishment. Simulation results show that the new algorithm enhances the sensitivity of malicious nodes, and improves the ability to resist attacks.