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Transmitting and Gathering Streaming Data in Wireless Multimedia Sensor Networks Within Expected Network Lifetime

机译:在预期的网络生存期内在无线多媒体传感器网络中传输和收集流数据

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摘要

Using multimedia sensor nodes in wireless sensor networks (WSNs) can significantly enhance the capability of WSNs for event description. Different kinds of holes can easily appear in WSNs. How to efficiently transmit multimedia streaming data and bypass all kinds of holes is a challenging issue. Moreover, some applications do not need WSNs to work for a long lifetime, e.g. monitoring an erupting volcano. These applications generally expect that WSNs can provide continuous streaming data during a relatively short expected network lifetime. Two basic problems are: (1) gathering as much data as possible within an expected network lifetime; (2) minimizing transmission delay within an expected network lifetime. In this paper, we proposed a cross-layer approach to facilitate the continuous one shot event recording in WSNs. We first propose thernmaximum streaming data gathering (MSDG) algorithm and the minimum transmission delay (MTD) algorithm to adjust the transmission radius of sensor nodes in the physical layer. Following that the two-phase geographical greedy forwarding (TPGF) routing algorithm is proposed in the network layer for exploring one/multiple optimized hole-bypassing paths. Simulation results show that our algorithms can effectively solve the identified problems.
机译:在无线传感器网络(WSN)中使用多媒体传感器节点可以显着增强WSN用于事件描述的能力。不同类型的漏洞很容易在WSN中出现。如何有效地传输多媒体流数据并绕过各种漏洞是一个具有挑战性的问题。此外,某些应用程序不需要WSN即可长期工作,例如,监视火山爆发。这些应用程序通常期望WSN可以在相对较短的预期网络生存期内提供连续的流数据。两个基本问题是:(1)在预期的网络生存期内收集尽可能多的数据; (2)在预期的网络寿命内最小化传输延迟。在本文中,我们提出了一种跨层方法来促进WSN中连续一发事件的记录。首先,我们提出了最大流数据收集(MSDG)算法和最小传输延迟(MTD)算法来调整物理层中传感器节点的传输半径。随后,在网络层中提出了两阶段地理贪婪转发(TPGF)路由算法,以探索一条/多条优化的绕道路径。仿真结果表明,我们的算法可以有效地解决所识别的问题。

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