A high-available and location predictive data gathering scheme with mobile sinks for wireless sensor networks

被引：11

作者：

Zhu, Chuan ^{[1
]}

Quan, Kangning ^{[1
]}

Han, Guangjie ^{[2
]}

Rodrigues, Joel J. P. C. ^{[3
,4
]}

机构：

[1] Changzhou Coll Informat Technol, Open Lab Ind Cloud Intelligent Mfg, Changzhou, Peoples R China

[2] Dalian Univ Technol, Key Lab Ubiquitous Network & Serv Software Liaoni, Sch Software, Dalian 116024, Peoples R China

[3] Univ Beira Interior, Inst Telecommun, Covilha, Portugal

[4] Univ ITMO, Dept Informat, St Petersburg, Russiathe, Russia

来源：

COMPUTER NETWORKS | 2018年 / 145卷

基金：

中国国家自然科学基金;

关键词：

Wireless sensor networks; Mobile sinks; High availability; Location prediction; PROTOCOL;

D O I：

10.1016/j.comnet.2018.08.022

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The use of mobile sinks in a wireless sensor network can effectively improve network performance. However, if a mobile sink fails, the entire network performance will be seriously affected. In this paper, we propose a high-available and location predictive data gathering scheme with mobile sinks to address the mentioned issue. Namely, sensor nodes can calculate the current location of mobile sinks based on time synchronization, and the network could still work normally if some of the mobile sinks fail. Considering the energy consumption of nodes in different areas, a moving trajectory adjusting strategy is also proposed to balance energy consumption among the nodes in the network. Simulation results show that the proposed data gathering scheme has better performance than the existing schemes. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：156 / 164

页数：9

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