| With the rapid development of wireless communication technology, wireless sensor networks that has a unique advantage with low power consumption, low cost and self organizing emerges as the requirements of the times, and quickly becomes one of the ten most influential technology in twenty-first century, which fills up our daily life in every aspect. Wireless sensor networks in the data transmission process extremely easy to be influenced by environmental factors to cause data loss and communication delay. Therefore, how to effectively guarantee the network quality of service has become a hot issue in the field of wireless sensor network research. This paper mainly uses the network calculus theory to study the performance analysis of wireless sensor network with energy consumption optimization. On the one hand, to balance the node’s energy consumption, We propose a energy-saving strategy based on flow division in wireless sensor networks with sleep-wake mechanism for energy-efficiency and on the basis of which conduct on end-to-end delay performance analysis, on the other hand, to save network energy consumption, We use network coding approach to reduce the amount of information transmission under the same security transmission of information for cluster-tree WSN and analyze network performance of network coding mode. The research work are as follows:This paper mainly focus on wireless sensor networks with sleep-wake mechanism for energy-efficiency. We divide input flows into multiple sub-flows in terms of configured weight of links in order to avoid excessive energy consumption of sensor nodes caused by forwarding too much data-collected. So, data-collected arrives at the node pass through multiple different links and sensor nodes to make each node’s energy consumption balance. On this basis, We deduce the end-to-end delay of data flows through the shunt and the energy consumption of each node based on network calculus according to arrival of flows and service of sensor nodes. Numerical results show that the proposed method can provide an effectively balanced means between energy consumption and delay by adjusting the duty cycle of the sensor nodes properly in wireless sensor networks with sleep-wake mechanism for energy-efficiency.This paper uses network calculus theory to study network performance for cluster-tree WSN based on network coding. We improve the output curve of network calculus theory in terms of the actual data transmission in cluster-tree WSN with network coding and use the improved output curve to study the end-to-end delay and buffer requirement for cluster-tree WSN. At the same time, It is compared with network performance of traditional scheduling strategy mode. We apply the results of analysis to the use of IEEE802.15.4/Zigbee protocol cluster-tree WSN and derive the upper bound value on the performance parameters of the network, which provide a theoretical guidance for the cluster-tree WSN design and practical application. |