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A new networking model for biological applications of ad hoc sensor networks

机译:Ad hoc传感器网络生物学应用的新网络模型

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In this paper, we introduce the Shared Wireless Infostation Model (SWIM), which extends the Infostation model by incorporating information replication, storage, and diffusion into a mobile ad hoc network architecture with intermittent connectivity. SWIM is able to reduce the delay of packet delivery at the expense of increased storage at the network nodes. Furthermore, SWIM improves the overall capacity-delay tradeoff by only moderately increasing the storage requirements. This tradeoff is examined here in the context of a practical application-acquisition of telemetry data from radio-tagged whales. To reduce the storage requirements, without affecting the network delay, we propose and study a number of schemes for deletion of obsolete information from the network nodes. In particular, through the use of Markov chains, we compare the performance of five such storage deletion schemes, which, by increasing the computational complexity of the routing algorithm, mitigate the storage requirements. The results of our study will allow a network designer to implement such a system and to tune its performance in a delay-tolerant environment with intermittent connectivity, as to ensure with some chosen level of confidence that the information is successfully carried through the mobile network and delivered within some time period.
机译:在本文中,我们介绍了共享无线信息站模型(SWIM),它通过将信息复制,存储和扩散合并到具有间歇性连接的移动自组织网络体系结构中来扩展了信息站模型。 SWIM能够以增加网络节点的存储为代价来减少数据包传递的延迟。此外,SWIM仅适度增加存储需求,从而改善了总的容量延迟权衡。在实际应用中,从无线电标记的鲸鱼中获取遥测数据,以此为代价进行权衡。为了减少存储需求,而又不影响网络延迟,我们提出并研究了许多从网络节点删除过时信息的方案。特别是,通过使用马尔可夫链,我们比较了五个此类存储删除方案的性能,这些方案通过增加路由算法的计算复杂性来减轻存储需求。我们的研究结果将使网络设计人员可以实施这种系统,并在具有间歇性连接的延迟容忍环境中调整其性能,以确保在一定选定的置信度下确保信息能够成功地通过移动网络和网络传输。在一定时间内交付。

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