Design of Resilient Sensor Networks Balancing Resilience and Efficiency

作     者：Sergey N.Vecherin Kiril D.Ratmanski Luke Hogewood Igor Linkov Sergey N.Vecherin;Kiril D.Ratmanski;Luke Hogewood;Igor Linkov

作者机构：Cold Regions Research and Engineering LaboratoryEngineering Research and Development CenterHanoverNH 03755USA Environmental LaboratoryEngineering Research and Development CenterVicksburgMS 39180USA 

出 版 物：《International Journal of Disaster Risk Science》 (国际灾害风险科学学报（英文版）)

年 卷 期：2024年第15卷第1期

页      面：107-115页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0708[理学-地球物理学] 0815[工学-水利工程] 0706[理学-大气科学] 0802[工学-机械工程] 

基　　金：funded by the Integrating Energy and Computing Networks project funded through the USACE Military Programs 

主　　题：Binary linear programming Optimal sensor placement Redundant networks Resilience and efciency Resilient sensor networks 

摘      要：In recent years,the notion of resilience has been developed and applied in many technical areas,becoming exceptionally pertinent to disaster risk *** a disaster situation,accurate sensing information is the key to efficient recovery *** general,resilience aims to minimize the impact of disruptions to systems through the fast recovery of critical functionality,but resilient design may require redundancy and could increase *** this article,we describe a method based on binary linear programming for sensor network design balancing efficiency with *** application of the developed framework is demonstrated for the case of interior building surveillance utilizing infrared sensors in both twoand three-dimensional *** method provides optimal sensor placement,taking into account critical functionality and a desired level of resilience and considering sensor type and *** problem formulation,resilience requirements,and application of the optimization algorithm are described in *** of sensor locations with and without resilience requirements shows that resilient configuration requires redundancy in number of sensors and their intelligent *** tasks are successfully solved by the described method,which can be applied to strengthen the resilience of sensor networks by *** proposed methodology is suitable for large-scale optimization problems with many sensors and extensive coverage areas.