TY - GEN
T1 - RPL enhancement using a new objective function based on combined metrics
AU - Lamaazi, Hanane
AU - Benamar, Nabil
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/19
Y1 - 2017/7/19
N2 - The routing protocol for low-power and lossy networks (RPL) defines an objective function (OF) to choose the optimal route toward destination. OF can operate according to a set of metrics and constraints used in a single or combined way. The use of a single metric in the OF can improve routing performances while degrades others. To overcome these limitations, we present in this paper a new approach to enhance the RPL routing protocol. We propose OF-EC (objective function based combined metric using fuzzy logic method), a new objective function that considers both link and node metrics, namely ETX (expected transmission count), HC (hop count) and EC (energy consumption) based on fuzzy logic concepts. Our results show that the new OF-EC in comparison to the OF based ETX and OF based energy consumption only and OF-FUZZY allows improving RPL performances in terms of PDR and overhead. In addition, this new metric allows equalizing the energy consumption of nodes throughout the network.
AB - The routing protocol for low-power and lossy networks (RPL) defines an objective function (OF) to choose the optimal route toward destination. OF can operate according to a set of metrics and constraints used in a single or combined way. The use of a single metric in the OF can improve routing performances while degrades others. To overcome these limitations, we present in this paper a new approach to enhance the RPL routing protocol. We propose OF-EC (objective function based combined metric using fuzzy logic method), a new objective function that considers both link and node metrics, namely ETX (expected transmission count), HC (hop count) and EC (energy consumption) based on fuzzy logic concepts. Our results show that the new OF-EC in comparison to the OF based ETX and OF based energy consumption only and OF-FUZZY allows improving RPL performances in terms of PDR and overhead. In addition, this new metric allows equalizing the energy consumption of nodes throughout the network.
KW - Energy consumption
KW - ETX
KW - Fuzzy Logic
KW - Objective Function
KW - RPL
UR - https://www.scopus.com/pages/publications/85027832969
UR - https://www.scopus.com/pages/publications/85027832969#tab=citedBy
U2 - 10.1109/IWCMC.2017.7986499
DO - 10.1109/IWCMC.2017.7986499
M3 - Conference contribution
AN - SCOPUS:85027832969
T3 - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
SP - 1459
EP - 1464
BT - 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017
Y2 - 26 June 2017 through 30 June 2017
ER -