Co-RPL: RPL routing for mobile low power wireless sensor networks using Corona mechanism

Gaddour, Olfa; Koubâa, Anis; Rangarajan, R.; Cheikhrouhou, Omar; Tovar, Eduardo; Abid, Mohamed

doi:10.1109/sies.2014.6871205

Cited by 107 publications

(76 citation statements)

References 25 publications

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“…These protocols are the original RPL (OR-RPL), Co-RPL [10], ME-RPL [12], and the reverse trickle timer algorithm (RT-RPL) [11]. We used four performance metrics to evaluate the efficiency of these protocols: (1) packet delivery ratio; (2) number of dropped packets; (3) average end-to-end delay; and (4) number of control packets.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Study of Mobility Enhancements for RPL in Convergecast Scenarios

Wang

Chalhoub

2017

Future Internet

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Abstract:In recent years, mobility support has become an important requirement in various wireless sensor network (WSN) applications. However, due to the strict resource constraints of power, memory, and processing resources in WSNs, routing protocols are mainly designed without considering mobility. Low-Power and Lossy Networks (LLNs) are a special type of WSNs that tolerate data loss. The Routing Protocol for Low-Power and Lossy Networks (RPL) is a routing protocol for LLNs that adapts IPv6 (Internet Protocol version 6) and runs on top of the IEEE (Institute of Electrical and Electronics Engineers) 802.15.4 standard. RPL supports multipoint-to-point traffic and point-to-multipoint traffic. In this paper we propose a mobility enhancement mechanism in order to improve data collection applications in highly mobile scenarios. The enhancement is based on signal strength monitoring and depth updating in order to improve the routing protocol performance in mobile scenarios. This enhancement helps routing protocols to cope better with topology changes and makes proactive decisions on updating next-hop neighbours. We integrated this mechanism into the RPL and compared it with other existing RPL mobility support enhancements. Results obtained through simulation using Cooja show that our work outperforms other existing RPL mobility supports on different performance metrics. Results also prove the efficiency of our proposal in highly mobile scenarios.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Gaddour et al [10] proposed Co-RPL based on the Corona mechanism to support mobility in RPL. In order to be aware of the movement of the nodes in real-time, they proposed that the DAG root send DIOs periodically.…”

Section: Related Workmentioning

confidence: 99%

Study of Mobility Enhancements for RPL in Convergecast Scenarios

Wang

Chalhoub

2017

Future Internet

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“…A lot of research has been done to enhance the working of RPL discuss to handle various challenges such as mobility, high traffic, energy consumption and improved security. We have grouped the work done into the following categories based on desired goals: a) Mobility of nodes [16][17][18][19][20][21][22][23][24][25][26][27] b) Load balancing under high and uneven traffic conditions [28][29][30][31][32][33][34][35][36][37] c) Energy conservation [38][39][40][41][42][43][44][45][46][47][48][49][50] d) Emergency response [51][52][53][54][55] e) Security [74][75][76][77][78][79][80][81]…”

Section: Classification Of Enhancement Schemesmentioning

confidence: 99%

“…In [28], a method was proposed for static roots and mobile nodes, wherein the latter attach themselves to the nearest static root. It adapted the timer to issue DIO periodically without waiting for timer expiration to keep track of the location of mobile nodes.…”

Section: Classification Of Enhancement Schemesmentioning

confidence: 99%

Research on Enhancing RPL for Improved Performance in IOT Networks

Chang*¹,

Dutta²

2019

IJITEE

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RPL (IPv6 Routing Protocol for Low-Power and Lossy Net- works) was developed by IETF (Internet Engineering Task Force) as the protocol for LLNs (low power and lossy networks) that comprise of resource constrained components such as those used in Internet of Things applications. Since then the research community and the industry have come up with many enhancements of RPL aimed at achieving a diverse range of objectives that include better performance under heavy traffic loads, higher throughput, lower packet loss, energy conservation, longer network lifetime, mobility of nodes and enhanced security. This paper presents a review of the various methods proposed to achieve these objectives. A comparative review and a taxonomy of these methods are presented in this paper. We aim to provide valuable insights into RPL and present the foundation for future works.

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“…Finally, due to its importance in practical network settings, RPL support for mobile applications has recently received much attention [18,19,20]. However, to the best of our knowledge, HOIST represents the first evaluation of an implemented hierarchical approach for mobile sink support that is fully compatible with standard RPL.…”

Section: Related Workmentioning

confidence: 99%

Design and Evaluation of an RPL-based Multi-Sink Routing Protocol for Low-Power and Lossy Networks

Andrea

Simon

2015

Proceedings of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Due to the energy and resource constraints of the embedded Wireless Sensor Networking (WSN) devices that form Low-Power and Lossy Networks (LLNs), efficient support for mobile data sinks is essential. Further, such support should be fully compatible with the broad class of networking mechanisms now defined for LLN support, such as the routing protocol RPL. This paper describes the Hierarchical network of Observable devices with Itinerant Sinks Transporting data (HOIST) protocol. HOIST is designed to service LLNs using an RPL-friendly three-tier hybrid cluster-tree architecture to support sensor nodes deployed over geographically segregated areas. The mobile aspects of HOIST allow for collection from such remote fields without the need for longdistance wireless transfers, which would result in a higher level of energy drain. HOIST supports both real-time data capture and collected data retrieval. We have implemented and field-tested HOIST in a working physical system, as well as in simulation, with results indicating viability for both sparse and dense deployments of nodes under multiple, geographically constrained, uncontrolled mobility models.

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Co-RPL: RPL routing for mobile low power wireless sensor networks using Corona mechanism

Cited by 107 publications

References 25 publications

Study of Mobility Enhancements for RPL in Convergecast Scenarios

Study of Mobility Enhancements for RPL in Convergecast Scenarios

Research on Enhancing RPL for Improved Performance in IOT Networks

Design and Evaluation of an RPL-based Multi-Sink Routing Protocol for Low-Power and Lossy Networks

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