Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Gateway selection and clustering in multi‐interface wireless mesh networks considering network reliability and traffic
AU - Bozorgchenani, Arash
AU - Jahanshahi, Mohsen
AU - Tarchi, Daniele
PY - 2018/3/1
Y1 - 2018/3/1
N2 - This work considers the gateway selection and clustering problem in a multi‐interface wireless mesh network. The evolved reliability and traffic‐aware gateway selection scheme is here introduced to increase the performance in terms of throughput. There are 2 main phases in the proposed idea. In the first step, some Internet Gateway Candidates are selected from the mesh nodes in the network, based on the network traffic. Then, in the second step, using the path tracing method, the best of these candidates are selected as Internet gateways. Moreover, to decrease the network energy consumption, a refined evolved reliability and traffic‐aware gateway selection scheme is also proposed whose effect in simulation is shown. A clustering method is later proposed exploiting the genetic algorithm to give priority to the nodes with the shortest hop to connect to the cluster head. Simulation results demonstrate how our gateway selection and clustering scheme outperforms 2 successful approaches in terms of throughput and network energy consumption.
AB - This work considers the gateway selection and clustering problem in a multi‐interface wireless mesh network. The evolved reliability and traffic‐aware gateway selection scheme is here introduced to increase the performance in terms of throughput. There are 2 main phases in the proposed idea. In the first step, some Internet Gateway Candidates are selected from the mesh nodes in the network, based on the network traffic. Then, in the second step, using the path tracing method, the best of these candidates are selected as Internet gateways. Moreover, to decrease the network energy consumption, a refined evolved reliability and traffic‐aware gateway selection scheme is also proposed whose effect in simulation is shown. A clustering method is later proposed exploiting the genetic algorithm to give priority to the nodes with the shortest hop to connect to the cluster head. Simulation results demonstrate how our gateway selection and clustering scheme outperforms 2 successful approaches in terms of throughput and network energy consumption.
U2 - 10.1002/ett.3215
DO - 10.1002/ett.3215
M3 - Journal article
VL - 29
JO - Transactions on Emerging Telecommunications Technologies
JF - Transactions on Emerging Telecommunications Technologies
SN - 2161-3915
IS - 3
M1 - e3215
ER -