2013
Yi, Jiazi; Clausen, Thomas; Igarashi, Yuichi
Evaluation of Routing Protocol for Low Power and Lossy Networks: LOADng and RPL Proceedings Article
In: 2013 IEEE Conference on Wireless Sensors, 2013.
Abstract | Links | BibTeX | Tags: Constrained Networks, lln, loadng, Performance Evaluation, rpl, Sensor Networks, sogrid
@inproceedings{Clausen2013a,
title = {Evaluation of Routing Protocol for Low Power and Lossy Networks: LOADng and RPL},
author = {Jiazi Yi and Thomas Clausen and Yuichi Igarashi},
url = {http://jiaziyi.com/wp-content/uploads/2016/08/Evaluation-of-Routing-Protocol-for-Low-Power-and-Lossy-Networks-LOADng-and-RPL.pdf
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6728773},
doi = {10.1109/ICWISE.2013.6728773},
year = {2013},
date = {2013-12-01},
publisher = {2013 IEEE Conference on Wireless Sensors},
abstract = {Routing protocol is a critical component of Low- power and Lossy Networks for Smart Grid. The protocols are used for data forwarding, which includes data acquisition, information dissemination, etc. This paper evaluates two main routing protocols used for Low-power and Lossy Networks: RPL and LOADng, to understand their strengths and limitations. Observations are provided based on analysis of specification and experimental experience, regarding the protocol’s routing overhead, traffic pattern, resource requirement, fragmentation, etc. Simulations are further launched to study the performance in different traffic patterns, which include sensor-to-sensor traffic, sensor-to-root traffic and root-to-sensor bidirectional traffic. By evaluating those protocols, the readers could have better under- standing of the protocol applicability, and choose the appropriate protocol for desired applications.},
keywords = {Constrained Networks, lln, loadng, Performance Evaluation, rpl, Sensor Networks, sogrid},
pubstate = {published},
tppubtype = {inproceedings}
}
Routing protocol is a critical component of Low- power and Lossy Networks for Smart Grid. The protocols are used for data forwarding, which includes data acquisition, information dissemination, etc. This paper evaluates two main routing protocols used for Low-power and Lossy Networks: RPL and LOADng, to understand their strengths and limitations. Observations are provided based on analysis of specification and experimental experience, regarding the protocol’s routing overhead, traffic pattern, resource requirement, fragmentation, etc. Simulations are further launched to study the performance in different traffic patterns, which include sensor-to-sensor traffic, sensor-to-root traffic and root-to-sensor bidirectional traffic. By evaluating those protocols, the readers could have better under- standing of the protocol applicability, and choose the appropriate protocol for desired applications.
Clausen, Thomas; de Verdiere, Axel Colin; Yi, Jiazi
Performance analysis of Trickle as a flooding mechanism Proceedings Article
In: IEEE 15th International Conference on Communication Technology, 2013.
Abstract | Links | BibTeX | Tags: Constrained Networks, lln, Performance Evaluation, rpl, Sensor Networks, Trickle
@inproceedings{Clausen2013b,
title = {Performance analysis of Trickle as a flooding mechanism},
author = {Thomas Clausen and Axel Colin de Verdiere and Jiazi Yi},
url = {http://jiaziyi.com/wp-content/uploads/2016/08/Performance-analysis-of-Trickle-as-a-flooding-mechanism.pdf
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6820439},
doi = {10.1109/ICCT.2013.6820439},
year = {2013},
date = {2013-11-01},
publisher = {IEEE 15th International Conference on Communication Technology},
abstract = {“The Trickle Algorithm” is conceived as an adaptive mechanism for allowing efficient and reliable information sharing among nodes, communicating across a lossy and shared medium. Its basic principle is, for each node, to monitor transmissions from its neighbours, compare what it receives with its cur- rent state, and schedule future transmissions accordingly: if an inconsistency of information is detected, or if few or no neighbours have transmitted consistent information “recently”, the next transmission is scheduled “soon” – and, in case consistent information from a sufficient number of neighbours is received, the next transmission is scheduled to be “later”. Developed originally as a means of distributing firmware updates among sensor devices, this algorithm has found use also for distribution of routing information in the routing protocol RPL, standardised within the IETF for maintaining a routing topology for low-power and lossy networks (LLNs). Its use is also proposed in a protocol for multicast in LLNs, denoted “Multicast Forwarding Using Trickle”. This paper studies the performance of the Trickle algorithm, as it is used in that multicast protocol.},
keywords = {Constrained Networks, lln, Performance Evaluation, rpl, Sensor Networks, Trickle},
pubstate = {published},
tppubtype = {inproceedings}
}
“The Trickle Algorithm” is conceived as an adaptive mechanism for allowing efficient and reliable information sharing among nodes, communicating across a lossy and shared medium. Its basic principle is, for each node, to monitor transmissions from its neighbours, compare what it receives with its cur- rent state, and schedule future transmissions accordingly: if an inconsistency of information is detected, or if few or no neighbours have transmitted consistent information “recently”, the next transmission is scheduled “soon” – and, in case consistent information from a sufficient number of neighbours is received, the next transmission is scheduled to be “later”. Developed originally as a means of distributing firmware updates among sensor devices, this algorithm has found use also for distribution of routing information in the routing protocol RPL, standardised within the IETF for maintaining a routing topology for low-power and lossy networks (LLNs). Its use is also proposed in a protocol for multicast in LLNs, denoted “Multicast Forwarding Using Trickle”. This paper studies the performance of the Trickle algorithm, as it is used in that multicast protocol.