無(wú)線傳感器網(wǎng)絡(luò)中定向擴(kuò)散協(xié)議的改進(jìn)算法
A Novel Directed Diffusion Mechanism for Wireless Sensor Networks
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摘要: 定向擴(kuò)散算法周期性地?cái)U(kuò)散探測(cè)分組時(shí),會(huì)給網(wǎng)絡(luò)帶來(lái)很大負(fù)載,嚴(yán)重影響了數(shù)據(jù)分組的傳輸性能。該文提出了一種基于梯度的受限擴(kuò)散算法。通過(guò)分析鄰居梯度,計(jì)算擴(kuò)散的廣度和深度,進(jìn)而選取最優(yōu)的轉(zhuǎn)發(fā)節(jié)點(diǎn)集進(jìn)行擴(kuò)散。仿真結(jié)果表明受限擴(kuò)散算法在保證較低能量消耗的前提下,大大縮短了擴(kuò)散持續(xù)的時(shí)間和數(shù)據(jù)分組端到端時(shí)延。Abstract: Directed diffusion is a classical data propagation protocol for wireless sensor networks. In directed diffusion routing, the diffusion of exploratory data can inevitably lead to heavy traffic periodically. Then the performance of data propagation may severely deteriorate at that moment. A gradient-based constrained diffusion algorithm is proposed in this paper. By analyzing the gradients of nodes neighbors, the breadth and depth for diffusion can be conducted firstly. Then diffusion is performed in the optimal set of selected forwarding nodes. The simulation results indicate that this algorithm can decrease both duration of diffusion and propagation delay greatly. In addition, it is energy-efficient, and compatible with existing algorithm without additional cost of control message.
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