基于相遇位置预测的移动传感器网络能量补充方法研究
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摘要
能量问题一直是无线传感器网络研究的热点。传感器有限的电池电量会造成能量供应不足,甚至会导致网络瘫痪。同时传感器的移动性也给实现移动传感器网络的高效能量补充带来了新的挑战。为了保证移动传感器网络持续高效运行,本文提出了一种基于相遇位置预测的移动传感器网络能量补充方法。首先根据移动传感器的剩余能量和移动信息,计算移动充电装置与每一个提出充电请求传感器的最短相遇时间及相遇位置。其次在保证缺电传感器都能够获得公平的充电响应的基础上,移动充电装置优先选择与其相遇时间最短的缺电传感器进行能量补充。仿真实验结果表明本文提出的移动传感器网络能量补充方法能更有效地缩短充电延迟,提高充电效率。
Energy problem has always been a hot research topic in wireless sensor networks. Limited battery power of sensors can lead to inadequate energy supply and even network paralysis. At the same time,the mobility of sensors brings new challenges to the efficient energy supplement of mobile sensor networks. In order to ensure the continuous and efficient operation of mobile sensor networks,this paper proposes an energy supplement method for mobile sensor networks based on meeting position prediction. Firstly,according to the remaining energy and movement information of the mobile sensor,the minimum meeting time and the meeting position of the mobile charging device and each of the proposed charging request sensors are calculated. On the basis of ensuring that the power-deficient sensor can obtain a fair charging response,the mobile charger preferentially selects the power-deficient sensor with the shortest meeting time for energy supplementation. The simulation results show that the proposed energy replenishment method for mobile sensor networks can shorten the charging delay and improve the charging efficiency more effectively.
Energy problem has always been a hot research topic in wireless sensor networks. Limited battery power of sensors can lead to inadequate energy supply and even network paralysis. At the same time,the mobility of sensors brings new challenges to the efficient energy supplement of mobile sensor networks. In order to ensure the continuous and efficient operation of mobile sensor networks,this paper proposes an energy supplement method for mobile sensor networks based on meeting position prediction. Firstly,according to the remaining energy and movement information of the mobile sensor,the minimum meeting time and the meeting position of the mobile charging device and each of the proposed charging request sensors are calculated. On the basis of ensuring that the power-deficient sensor can obtain a fair charging response,the mobile charger preferentially selects the power-deficient sensor with the shortest meeting time for energy supplementation. The simulation results show that the proposed energy replenishment method for mobile sensor networks can shorten the charging delay and improve the charging efficiency more effectively.
引文
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[13] 郭龙,冯勇,杨心,等.基于一种虚拟骨干网环境下的移动能量补充策略[J].传感技术学报,2018,31(5):773-779.
[14] Feng Y,Liu N,Wang F,et al.Starvation Avoidance Mobile Energy Replenishment for Wireless Rechargeable Sensor Networks[C]//International Conference on Communications,2016:1-6.
[15] Drenner A,Janssen M,Papanikolopoulos N P,et al.Coordinating Recharging of Large Scale Robotic Teams[C]//Intelligent Robots and Systems,2009:1357-1362.
[16] Zebrowski P,Vaughan R T.Recharging Robot Teams:A Tanker Approach[C]//International Conference on Advanced Robotics,2005:803-810.
[17] Bulut E,Ahsen M E,Szymanski B K,et al.Opportunistic Wireless Charging for Mobile Social and Sensor Networks[C]//Global Communications Conference,2014:207-212.
[18] He L,Cheng P,Gu Y,et al.Mobile-to-Mobile Energy Replenishment in Mission-Critical Robotic Sensor Networks[C]//International Conference on Computer Communications,2014:1195-1203.邹英华(1993-),女,昆明理工大学的在读硕士研究生。主要从事无线传感器网络的研究,其研究的方向是无线充电,即如何通过无线充电方式为网络中的传感器补充能量,以延长网络的生存时间,657890270@qq.com;冯勇(1975-),男,博士,副教授,研究方向为移动自组织网络,无线传感器网络,fybraver@163.com。
[2] Khalil I M,Khreishah A,Ahmed F,et al.Dependable Wireless Sensor Networks for Reliable and Secure Humanitarian Relief Applications[J].Ad Hoc Networks,2014,13:94-106.
[3] Yick J,Mukherjee B,Ghosal D.Wireless Sensor Network Survey[J].Computer Networks,2008,52(12):2292-2330.
[4] Kafi M A,Challal Y,Djenouri D,et al.A Study of Wireless Sensor Networks for Urban Traffic Monitoring:Applications and Architectures[J].Procedia Computer Science,2013,19(Complete):617-626.
[5] Bin W,Wenxin L,Liu L,et al.A Survey of Energy Conservation,Routing and Coverage in Wireless Sensor Networks[C]//Active Media Technology,2011:59-70.
[6] Srbinovski B,Magno M,Edwardsmurphy F,et al.An Energy Aware Adaptive Sampling Algorithm for Energy Harvesting WSN with Energy Hungry Sensors[J].Sensors,2016,16(4):448-448.
[7] 谢国民,韩刘路,付华,等.无线充电式传感器系统设计及关键技术[J].传感器与微系统,2018:99-102.
[8] Baroudi,Uthman.Robot-Assisted Maintenance of Wireless Sensor Networks Using Wireless Energy Transfer[J].IEEE Sensors Journal,2017:4661-4671.
[9] Wang G,Liu W,Sivaprakasam M,et al.Power Supply Topologies for Biphasic Stimulation in Inductively Powered Implants[C]//International Symposium on Circuits and Systems,2005:2743-2746.
[10] He S,Chen J,Jiang F,et al.Energy Provisioning in Wireless Rechargeable Sensor Networks[J].IEEE Transactions on Mobile Computing,2013,12(10):1931-1942.
[11] Tomar A,Jana P K.Designing Energy Efficient Traveling Paths for Multiple Mobile Chargers in Wireless Rechargeable Sensor Networks[C]//International Conference on Contemporary Computing,2017:1-6.
[12] Hu C,Wang Y.Minimizing the Number of Mobile Chargers in a Large-Scale Wireless Rechargeable Sensor Network[C]//Wireless Communications and Networking Conference,2015:1297-1302.
[13] 郭龙,冯勇,杨心,等.基于一种虚拟骨干网环境下的移动能量补充策略[J].传感技术学报,2018,31(5):773-779.
[14] Feng Y,Liu N,Wang F,et al.Starvation Avoidance Mobile Energy Replenishment for Wireless Rechargeable Sensor Networks[C]//International Conference on Communications,2016:1-6.
[15] Drenner A,Janssen M,Papanikolopoulos N P,et al.Coordinating Recharging of Large Scale Robotic Teams[C]//Intelligent Robots and Systems,2009:1357-1362.
[16] Zebrowski P,Vaughan R T.Recharging Robot Teams:A Tanker Approach[C]//International Conference on Advanced Robotics,2005:803-810.
[17] Bulut E,Ahsen M E,Szymanski B K,et al.Opportunistic Wireless Charging for Mobile Social and Sensor Networks[C]//Global Communications Conference,2014:207-212.
[18] He L,Cheng P,Gu Y,et al.Mobile-to-Mobile Energy Replenishment in Mission-Critical Robotic Sensor Networks[C]//International Conference on Computer Communications,2014:1195-1203.邹英华(1993-),女,昆明理工大学的在读硕士研究生。主要从事无线传感器网络的研究,其研究的方向是无线充电,即如何通过无线充电方式为网络中的传感器补充能量,以延长网络的生存时间,657890270@qq.com;冯勇(1975-),男,博士,副教授,研究方向为移动自组织网络,无线传感器网络,fybraver@163.com。