P Anusuya, C N Vanitha, Cho Jaehyuk, Veerappampalayam Easwaramoorthy Sathishkumar
Department of Computer Science and Design, Kongu Engineering College, Erode, Tamil Nadu, India.
Department of Software Engineering, Jeonbuk National University, Jeonju, Republic of Korea.
PeerJ Comput Sci. 2024 Nov 27;10:e2407. doi: 10.7717/peerj-cs.2407. eCollection 2024.
Wireless Sensor Networks (WSNs) have paved the way for a wide array of applications, forming the backbone of systems like smart cities. These systems support various functions, including healthcare, environmental monitoring, traffic management, and infrastructure monitoring. WSNs consist of multiple interconnected sensor nodes and a base station, creating a network whose performance is heavily influenced by the placement of sensor nodes. Proper deployment is crucial as it maximizes coverage and minimizes unnecessary energy consumption. Ensuring effective sensor node deployment for optimal coverage and energy efficiency remains a significant research gap in WSNs. This review article focuses on optimization strategies for WSN deployment, addressing key research questions related to coverage maximization and energy-efficient algorithms. A common limitation of existing single-objective algorithms is their focus on optimizing either coverage or energy efficiency, but not both. To address this, the article explores a dual-objective optimization approach, formulated as maximizing coverage Max ∑(i = 1) ^ N C and minimizing energy consumption Min ∑(i = 1) ^ N E for the sensor nodes, to balance both objectives. The review analyses recent algorithms for WSN deployment, evaluates their performance, and provides a comprehensive comparative analysis, offering directions for future research and making a unique contribution to the literature.
无线传感器网络（WSNs）为众多应用铺平了道路，构成了智慧城市等系统的支柱。这些系统支持多种功能，包括医疗保健、环境监测、交通管理和基础设施监测。无线传感器网络由多个相互连接的传感器节点和一个基站组成，形成一个其性能受传感器节点布局严重影响的网络。正确的部署至关重要，因为它能最大化覆盖范围并最小化不必要的能量消耗。确保有效的传感器节点部署以实现最佳覆盖范围和能源效率仍是无线传感器网络中一个重大的研究空白。这篇综述文章聚焦于无线传感器网络部署的优化策略，解决与覆盖范围最大化和节能算法相关的关键研究问题。现有单目标算法的一个常见局限性在于它们专注于优化覆盖范围或能源效率其中之一，而非两者兼顾。为解决这一问题，本文探索了一种双目标优化方法，表述为最大化传感器节点的覆盖范围Max ∑(i = 1) ^ N C 并最小化能耗Min ∑(i = 1) ^ N E ，以平衡这两个目标。该综述分析了近期的无线传感器网络部署算法，评估了它们的性能，并提供了全面的比较分析，为未来研究指明方向，对相关文献做出了独特贡献。
