Research of WSN Localization Algorithm Based on Entropy Function

Sensor networks are composed of large numbers of sensors that are equipped with a processor, memory, wireless communication capabilities, sensing capabilities and a power source (battery) on board. While in most existing sensor networks, sensors are static, some modern applications involve sensors that are mobile. Most existing localization algorithms were designed to work well either in networks of static sensors or networks in which all sensors are mobile. However, these existing sensor nodes localization schemes assume a benign environment, where all sensor nodes are supposed to provide correct reference information. When the sensor networks are deployed in a hostile environment, where sensor nodes can be compromised, such an assumption does not hold anymore. In this paper, we propose an new WSN localization algorithms, which based on the entropy function. It is different from the existing localization algorithms, which is an improvement algorithm. In many complex environment, such as pressure field, temperature field and magnetic field etc, we can use this localization scheme to localize sensor nodes, and results show that its performance is well.