能量感知的無(wú)線傳感器網(wǎng)絡(luò)路由算法研究
[Abstract]:Wireless sensor networks (WSNs) use self-organization to construct a network of small sensor nodes with low cost and low energy consumption, which can realize real-time sensing, monitoring and collecting of various information in target detection area. The collected data are processed and analyzed. Wireless sensor nodes have been widely used in military monitoring, system control, health care, environmental monitoring and other industries, with the advantages of convenient use, strong stability, easy expansion, good economy, safety and reliability, etc. By a variety of industry research and development personnel attached great importance. There are still many obstacles in the development and application of network. For example, in the process of using the network, the number of sensor nodes that need to be deployed is large, the location is random, and the monitoring environment is complex. The node stops working; When the network is monitored on a large scale, a large number of nodes should be deployed, which results in high overall cost and affects the popularization and popularization of the network. In actual deployment, the sensor nodes often use batteries to power the nodes, the development of the node miniaturization limits the battery capacity, and the huge number of nodes will cause the node battery replacement is very inconvenient. By using the energy model optimization strategy to study the network, starting from the network routing topology, this paper provides a new way of thinking for the establishment of efficient and energy-saving network. Aiming at the imbalance of network energy consumption, according to the characteristics of different types of applications, combined with node energy consumption model and multipath routing technology, the residual time prediction, network topology and time synchronization of nodes are studied. (1) Energy model. The characteristics of energy consumption of each module of CC2530 sensor node and the discharge law of node battery are studied, and the energy model is constructed to realize the statistics of the consumption of each module during the operation of the node. The working time and residual energy of the node are counted, and the remaining working time is predicted according to the working energy consumption of the node. Because the simulation tool of TinyOS2.x can not realize the energy detection of nodes, the design of TinyOS2.x energy component to calculate the residual energy of nodes is beneficial to the research of network energy. (2) in the aspect of routing protocol, the design of TinyOS2.x energy component to calculate the residual energy of nodes is beneficial to the research of network energy. Due to the limited battery capacity used by the nodes, the network topology will change continuously during operation, and the routing will change with the application. The non-uniform clustering method is used to select the cluster heads, and the optimal cluster heads are determined by the cooperation of the node competitiveness and the energy management mechanism of the nodes. According to the influence factors such as transmission energy consumption, residual energy and transmission distance, inter-cluster connectivity algorithm is used to select multi-hop paths between clusters to achieve load balancing. (3) in the aspect of time synchronization, the data time of sensor nodes is inconsistent. A time synchronization algorithm is proposed. The network delamination strategy is used to reduce the synchronous communication overhead, the synchronization error compensation mechanism is adopted to reduce the influence of synchronization error, and the clock compensation mechanism is used to reduce the cumulative error. On the premise of ensuring time precision, the synchronization times are reduced and the synchronization overhead is reduced.
【學(xué)位授予單位】:蘭州交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP212.9;TN929.5
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