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Provable configuration planning for wireless sensor networks

机译:无线传感器网络的可行配置规划

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Wireless Sensor Networks (WSNs) provide a flexible communication infrastructure for sensing and control. However, maintaining coverage is one of the most challenging tasks in configuring and deploying WSNs. Although there has been a significant amount research on providing coverage, most of the existing solutions focus on the coverage problem without giving attention to new sensing capabilities and dependability (security and reliability) requirements of WSN. Nevertheless, most of the existing techniques show limited scalability with the increasing number of sensors. In this paper, we present novel Satisfiability Modulo Theories (SMT) based formalizations to find the satisfying coverage configurations considering various practical security and reliability constraints. The presented approaches were implemented using Yices SMT Solver and evaluated extensively to show the feasibility and scalability of deploying our solutions in real-life WSN.
机译:无线传感器网络(WSN)为传感和控制提供了灵活的通信基础架构。但是,保持覆盖范围是配置和部署WSN最具挑战性的任务之一。尽管在提供覆盖方面进行了大量研究,但大多数现有解决方案都将重点放在覆盖问题上,而没有关注WSN的新感知功能和可靠性(安全性和可靠性)要求。然而,随着传感器数量的增加,大多数现有技术显示出有限的可扩展性。在本文中,我们提出了新颖的基于可满足性模块理论(SMT)的形式化方法,以考虑各种实际安全性和可靠性约束条件来找到令人满意的覆盖范围配置。提出的方法是使用Yices SMT Solver实施的,并进行了广泛评估,以显示在现实的WSN中部署我们的解决方案的可行性和可扩展性。

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