热点感知的无线传感器网络数据存储策略

计算机科学 ›› 2013, Vol. 40 ›› Issue (4): 73-77.

热点感知的无线传感器网络数据存储策略

李巧勤,吴磊,王焱

电子科技大学计算机科学与工程学院成都611731;电子科技大学应用数学学院成都611731;电子科技大学计算机科学与工程学院成都611731

出版日期:2018-11-16 发布日期:2018-11-16
基金资助:
本文受国家自然科学基金(61103208),中央高校基金(ZYGX2010J111,ZYGX2011J102,ZYGX2011J058)资助

Hotspot-aware Data Storage Strategy for Wireless Sensor Networks

LI Qiao-qin,WU Lei and WANG Yan

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 针对基于地理哈希表(GHT,Geographic Hash Table)的传感器网络数据中心存储(DCS,Data Centric Stora-ge)机制的热点问题,提出了能量有效的热点感知数据存储策略SASS (hotSpot-Aware data Storage Strategy),对GHT的路由策略进行改进,以减少边界模式引起的能量消耗,并利用邻居节点动态地扩展存储空间。仿真结果表明,与现有存储策略相比,SASS能有效减少因存储资源限制引起的数据丢失,并减轻热点区域节点的通信负载。

关键词: 无线传感器网络,数据中心存储,存储热点,事件

Abstract: Considering hotspot problem in GHT(Geographic Hash Table)-based Data-centric storage (DCS) sensor networks,this paper proposed a hotspot-aware data storage scheme (SASS),which improves the routing scheme of GHT to reduce the energy consumption caused by perimeter walk,and exploits neighboring nodes to extend storage space dynamically．Simulation results demonstrate that compared with exiting schemes,SASS can effectively alleviate data lost caused by the limitation of storage space and reduce communication load of nodes in hotspot areas.

Key words: Wireless sensor networks,Data-centric storage,Storage hotspot,Events

李巧勤,吴磊,王焱. 热点感知的无线传感器网络数据存储策略[J]. 计算机科学, 2013, 40(4): 73-77. https://doi.org/

LI Qiao-qin,WU Lei and WANG Yan. Hotspot-aware Data Storage Strategy for Wireless Sensor Networks[J]. Computer Science, 2013, 40(4): 73-77. https://doi.org/

参考文献

[1] 赵忠华,皇甫伟,孙利民,等.无线传感器网络管理技术[J]．计算机科学,2011,38(1):8-14
[2] Xiang Qiao,Zhang Hong-wei,Xu Jin-hong,et al．When in-networks processing meets time:Complexity and effects of joint optimization in wireless sensor networks[J]．IEEE transactions on mobile computing,2011,10(10):1488-1502
[3] Shenker S,Ratnasamy S,Karp B,et al．Data-centric storage in sensornets[J]．SIGCOMM Computer Communication Review,2003,33(1):137-142
[4] Ratnasamy S,Karp B,Shenker S,et al．Data-Centric Storage in Sensornets with GHT,a Geographic Hash Table[J]．Mobile Networks and Applications,2003,8(4):427-442
[5] Karp B,Kung K．GPSR:greedy perimeter stateless routing forwireless networks[C]∥Proc．of the 6^th annual international conference on mobile computing and networking．ACM:New York,USA,2000:243-254
[6] Michele A,Stefano C,Francesco N,et al．Dealing with non uniformity in data centric storage for wireless sensor networks[J]．IEEE Transactions on Parallel and Distributed System,2011,22(8):1398-1406
[7] Liao Wen-hwa,Wu Wan-chi．Effective hotspot storage management schemes in wireless sensor networks[J]．Computer Communications,2008,31:2131-2141
[8] Yu Zhao-chun,Xiao Bin,Zhou Shui-geng．Achieving optimal data storage position in wireless sensor networks[J]．Computer Communications,2010,33:92-102
[9] Joung Y-J,Huang S-H,Lin Shi-hang．Making data-centric stora-ge adaptive and cost-optimal[J]．Computer Networks,2012,56(1):213-230
[10] Das S K,Wang Jing,Ghpsh R K,et al．Theoretical aspects of distributed computing in sensor networks[M]．Springer,2011:257-291
[11] Weisstein E W．Square line picking．http://mathworld.wolfram.com/SquareLinePicking.html
[12] Bratislav M,Miroslaw M．Dropped edges and faces’ size in Gabriel and relative neighborhood graphs[C]∥Proc．of IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS)．2006:407-416

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed