Research Of Wireless Sensor Node Energy Consumption Evaluation And Energy-saving Strategies

Wireless sensor networks (WSN) are becoming increasingly prevalent in a wide range of areas from surveillance to monitoring humidity, temperature, and other environmental parameters. Since the nodes are often completely freed from wire, they are usually powered by batteries.Furthermore, these networks are situated in locations where may not be easily accessible. As a result, there is pressing need to have the sensor nodes operate for as long as possible to minimize maintenance and replacement costs. In order to propose methods by which power consumption can be minimized in wireless sensor networks, it is necessary to devise models that can be used to accurately compute the energy consumption of the wireless sensor node.Due to the energy is limited, energy evaluation has always been of significant concern for wireless sensor node.This dissertation proposes a novel method to evaluate the working pattern of the wireless sensor node.The dissertation centers on the detailed analytical characterization of the most energy-demanding components of the node and brings out the power states model based on the node states.A case study is discussed to validate the proposed framework.Experimental results show that this method is flexible and accurate. The method provides a basis to study energy-saving strategies in wireless sensor network.In the power states model, every changes from one state to another is presumed to be a kind of manipulation, which may increase the complexity of the evaluation method. In order to facilitate the research, the dissertation assumes that the sensor node changes from one state to another with a certain probability. This dissertation develops a detailed probabilistic model based on Semi-Markov chains model and presents two lifetime models that describe two of the most common modes of operation of sensor nodes today, trigger-driven and duty-cycle driven. Experimental results show that this model provides a useful simulation platform to evaluate the lifetime of the sensor node.