Addressing Mobility in RPL With Position Assisted Metrics

被引：39

作者：

Barcelo, Marc ^{[1
]}

Correa, Alejandro ^{[1
]}

Lopez Vicario, Jose ^{[1
]}

Morell, Antoni ^{[1
]}

Vilajosana, Xavier ^{[2
,3
]}

机构：

[1] Univ Autonoma Barcelona, E-08193 Barcelona, Spain

[2] Worldsensing, London W1K 3AT, England

[3] Open Univ Catalonia, Barcelona 08018, Spain

来源：

IEEE SENSORS JOURNAL | 2016年 / 16卷 / 07期

关键词：

Wireless sensor network; routing; RPL; mobility; Kalman filtering; WIRELESS; MODEL;

D O I：

10.1109/JSEN.2015.2500916

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Mobility is still an open challenge in wireless sensor networks (WSNs). Energy efficient routing strategies designed for static WSNs, such as routing protocol for low-power and lossy networks (RPL), generally have a slow response to topology changes. Moreover, their high signalling cost to keep up-to-date routes in the presence of mobile nodes makes them inefficient in these scenarios. In this paper, we introduce Kalman positioning RPL (KP-RPL), a novel routing strategy for WSNs with both static and mobile nodes, based on RPL. The objective of KP-RPL is to provide robust and reliable routing, considering the positioning inaccuracies and node disconnections that arise in real-life WSNs. This considers the original RPL for the communication among static nodes and position-based routing for mobile nodes, which use a novel RPL metric that combines Kalman positioning and blacklisting. The simulation results show that the reliability and the robustness of the network in harsh conditions are enhanced compared with geographical routing. Moreover, KP-RPL reduces the density and the number of simultaneously active anchor nodes for positioning. As a result, the infrastructure cost is lower, and the network lifetime is extended.

引用

页码：2151 / 2161

页数：11

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