An adaptive timer for RPL to handle mobility in wireless sensor networks

This paper focuses on the performance of wireless sensor networks characterized by a hybrid topology composed of mobile and static sensor nodes. The Routing Protocol for Low power and lossy networks (RPL), which is standardized as an IPv6 routing protocol for low power and lossy networks, uses the trickle timer algorithm to handle changes in the network topology. However, this algorithm is not well adapted to dynamic environments. This paper enhances the trickle timer in order to fit with mobility requirements. Most of previous works have improved this algorithm without considering the random movement of nodes. In this work, the proposed timer algorithm takes into consideration the random trajectory of mobile nodes, pause time and node's velocity. It is also dynamically adjusted to prevent from node disconnections. The performance of the modified protocol is evaluated and compared with native RPL, MERPL and RPL with reverse Trickle. The results show that our protocol optimization offers better performance.

[1]  C. Adjih,et al.  Mobility Enhanced RPL for Wireless Sensor Networks , 2012, 2012 Third International Conference on The Network of the Future (NOF).

[2]  Leila Ben Saad,et al.  RPL protocol adapted for healthcare and medical applications , 2015, 2015 International Wireless Communications and Mobile Computing Conference (IWCMC).

[3]  Noel Crespi,et al.  The Internet of Things - Concept and Problem Statement , 2012 .

[4]  Siarhei Kuryla,et al.  RPL: IPv6 Routing Protocol for Low power and Lossy Networks , 2010 .

[5]  Hossein Fotouhi,et al.  Mobile IoT: smart-HOP over RPL , 2014 .

[6]  Goran Dimi,et al.  Evaluation of Wireless Sensor Network Simulators , 2009 .

[7]  J. Condell,et al.  Wireless Sensor Networks-Smoothing algorithms for RSSI-based Device-free Passive Localisation , 2010 .

[8]  Julien Montavont,et al.  Analysis and performance evaluation of RPL under mobility , 2014, 2014 IEEE Symposium on Computers and Communications (ISCC).

[9]  Seong Gon Choi,et al.  Movement Detection Mechanism Using Differential RSSI in Mobile MPLS Network , 2006, 2006 8th International Conference Advanced Communication Technology.

[10]  Hua Qin,et al.  An integrated network of roadside sensors and vehicles for driving safety: Concept, design and experiments , 2010, 2010 IEEE International Conference on Pervasive Computing and Communications (PerCom).

[11]  Cem Ersoy,et al.  Wireless sensor networks for healthcare: A survey , 2010, Comput. Networks.

[12]  Eduardo Tovar,et al.  Co-RPL: RPL routing for mobile low power wireless sensor networks using Corona mechanism , 2014, Proceedings of the 9th IEEE International Symposium on Industrial Embedded Systems (SIES 2014).