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Optimizing the Static Path Planning (SPP) Methods and Path Length Analysis based on the Level Sensing Resolution of Sensor Node in Wireless Sensor Network (WSN)

機譯：基于無線傳感器網絡（WSN）中傳感器節點的水平傳感分辨率的靜態路徑規劃（SPP）方法和路徑長度分析的優化

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Several mobile-assisted localization in Wireless Sensor Network (WSN) uses the trajectory-based movement of location-aware nodes in certain applications, particularly disaster application. Static path planning (SPP) methods were proposed by various researchers to know the position of nodes thereby reducing the GPS deployment cost. However, these approaches attempt to increase the total path length travelled by the mobile anchor node. This paper presents a new mathematical model for the analysis of the node path. The proposed mathematical model obtains the reduced revolutionary path length, the energy of the sensor node for all SPP and RTCPD. The various SPP methods such as Scan, Double scan, Hilbert, Concentric circles and S-curve were analysed with the proposed well-planned path (partial dynamic) method RTC. An RSSI tree climbing (partially dynamic approach) is based on the level sensing resolution of Location-Aware Mobile Node (LAMN‘s) broadcast range is compared.

機譯：無線傳感器網絡（WSN）中的幾種移動輔助定位在某些應用程序（尤其是災難應用程序）中使用基于軌跡的位置感知節點的移動。各種研究人員提出了靜態路徑規劃（SPP）方法，以了解節點的位置，從而降低GPS部署成本。然而，這些方法試圖增加移動錨節點行進的總路徑長度。本文提出了一種用于節點路徑分析的新數學模型。所提出的數學模型獲得減少的旋轉路徑長度，所有SPP和RTCPD的傳感器節點的能量。使用建議的規劃良好的路徑（局部動態）RTC分析了各種SPP方法，例如掃描，雙掃描，希爾伯特，同心圓和S曲線。 RSSI爬樹（部分動態方法）是基于對位置感知移動節點（LAMN）廣播范圍的級別感測分辨率進行比較的。

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《》|2020年|690-696|共7頁
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Thilagavathi P; Martin Leo Manickam J;
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關鍵詞
Trajectory; Wireless sensor networks; Mathematical model; Conferences; Monitoring;

機譯：軌跡;無線傳感器網絡;數學模型;會議;監測;

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1. Influence of foliage on radio path losses (PLs) for wireless sensor network (WSN) planning in orchards. (Special Issue: Sensing technologies for sustainable agriculture.) [J] . Vougioukas S., Anastassiu H. T., Regen C., Biosystems Engineering . 2013,第4期

機譯：對于果園中的無線傳感器網絡（WSN）規劃，枝葉對無線路徑損耗（PLs）的影響。（特刊：可持續農業的傳感技術。）
2. Mobile anchor nodes path planning algorithms using network-density-based clustering in wireless sensor networks [J] . Han Guangjie, Zhang Chenyu, Jiang Jinfang, Journal of network and computer applications . 2017,第MAY期

機譯：無線傳感器網絡中使用基于網絡密度的聚類的移動錨點路徑規劃算法
3. A Disaster Management-Oriented Path Planning for Mobile Anchor Node-Based Localization in Wireless Sensor Networks [J] . Han Guangjie, Yang Xuan, Liu Li, Emerging Topics in Computing, IEEE Transactions on . 2020,第1期

機譯：無線傳感器網絡中基于移動錨點的本地化的災難管理導向路徑規劃
4. Dynamic path planning method for anchor node in three-dimensional wireless sensor networks [C] . Lv Jialiang, Wang Yinglong, Wei Nuo, 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation . 2013

機譯：三維無線傳感器網絡中錨節點的動態路徑規劃方法
5. Path planning of mobile elements in time constrained data gathering for wireless sensor networks. [D] . Badenga, Rahul. 2016

機譯：無線傳感器網絡中受時間限制的移動元素的路徑規劃。
6. Dynamic Fuzzy-Logic Based Path Planning for Mobility-Assisted Localization in Wireless Sensor Networks [O] . Abdullah Alomari, William Phillips, Nauman Aslam, 2017

機譯：無線傳感器網絡中基于動態模糊邏輯的移動輔助定位路徑規劃
7. Path planning and energy flow control of wireless power transfer for sensor nodes in wireless sensor networks [O] . Chenyang XIA, Yang ZHANG, Yuling LIU, 2018

機譯：無線傳感器網絡中傳感器節點的無線電力傳輸路徑規劃和能量流量控制

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Optimizing the Static Path Planning (SPP) Methods and Path Length Analysis based on the Level Sensing Resolution of Sensor Node in Wireless Sensor Network (WSN)

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