IEICE TRANSACTIONS on Communications
A Load Balancing Algorithm for Layer 2 Routing in IEEE 802.15.10
Summary :
In this paper, we propose an IEEE 802.15.10-based layer 2 routing (L2R) method with a load balancing algorithm; the proposal considers fairness in terms of the cumulative number of sending packets at each terminal to resolve the packet concentration problem for the IEEE 802.15.4-based low-power consumption wireless smart utility network (Wi-SUN) systems. The proposal uses the accumulated sending times of each terminal as a weight in calculating each path quality metric (PQM) to decide multi-hopping routes with load balancing in the network. Computer simulation of the mesh network with 256 terminals shows that the proposed routing method can improve the maximum sending ratio (MSR), defined as the ratio of the maximum sending times to the average number of sending times in the network, by 56% with no degradation of the end-to-end communication success ratio (E2E-SR). The proposed algorithm is also experimentally evaluated by using actual Wi-SUN modules. The proposed routing method also improves the MSR by 84% with 70 terminals. Computer simulations and experiments prove the effectiveness of the proposed method in terms of load balancing.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.10 pp.2131-2141
- Publication Date
- 2018/10/01
- Publicized
- 2018/04/13
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017NEP0005
- Type of Manuscript
- Special Section PAPER (Special Section on Wireless Distributed Networks for IoT Era)
- Category
Authors
Takuya HABARA
Kyoto University
Keiichi MIZUTANI
Kyoto University
Hiroshi HARADA
Kyoto University
Keyword
Latest Issue
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Takuya HABARA, Keiichi MIZUTANI, Hiroshi HARADA, "A Load Balancing Algorithm for Layer 2 Routing in IEEE 802.15.10" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 10, pp. 2131-2141, October 2018, doi: 10.1587/transcom.2017NEP0005.
Abstract: In this paper, we propose an IEEE 802.15.10-based layer 2 routing (L2R) method with a load balancing algorithm; the proposal considers fairness in terms of the cumulative number of sending packets at each terminal to resolve the packet concentration problem for the IEEE 802.15.4-based low-power consumption wireless smart utility network (Wi-SUN) systems. The proposal uses the accumulated sending times of each terminal as a weight in calculating each path quality metric (PQM) to decide multi-hopping routes with load balancing in the network. Computer simulation of the mesh network with 256 terminals shows that the proposed routing method can improve the maximum sending ratio (MSR), defined as the ratio of the maximum sending times to the average number of sending times in the network, by 56% with no degradation of the end-to-end communication success ratio (E2E-SR). The proposed algorithm is also experimentally evaluated by using actual Wi-SUN modules. The proposed routing method also improves the MSR by 84% with 70 terminals. Computer simulations and experiments prove the effectiveness of the proposed method in terms of load balancing.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017NEP0005/_p
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@ARTICLE{e101-b_10_2131,
author={Takuya HABARA, Keiichi MIZUTANI, Hiroshi HARADA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Load Balancing Algorithm for Layer 2 Routing in IEEE 802.15.10},
year={2018},
volume={E101-B},
number={10},
pages={2131-2141},
abstract={In this paper, we propose an IEEE 802.15.10-based layer 2 routing (L2R) method with a load balancing algorithm; the proposal considers fairness in terms of the cumulative number of sending packets at each terminal to resolve the packet concentration problem for the IEEE 802.15.4-based low-power consumption wireless smart utility network (Wi-SUN) systems. The proposal uses the accumulated sending times of each terminal as a weight in calculating each path quality metric (PQM) to decide multi-hopping routes with load balancing in the network. Computer simulation of the mesh network with 256 terminals shows that the proposed routing method can improve the maximum sending ratio (MSR), defined as the ratio of the maximum sending times to the average number of sending times in the network, by 56% with no degradation of the end-to-end communication success ratio (E2E-SR). The proposed algorithm is also experimentally evaluated by using actual Wi-SUN modules. The proposed routing method also improves the MSR by 84% with 70 terminals. Computer simulations and experiments prove the effectiveness of the proposed method in terms of load balancing.},
keywords={},
doi={10.1587/transcom.2017NEP0005},
ISSN={1745-1345},
month={October},}
Copy
TY - JOUR
TI - A Load Balancing Algorithm for Layer 2 Routing in IEEE 802.15.10
T2 - IEICE TRANSACTIONS on Communications
SP - 2131
EP - 2141
AU - Takuya HABARA
AU - Keiichi MIZUTANI
AU - Hiroshi HARADA
PY - 2018
DO - 10.1587/transcom.2017NEP0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2018
AB - In this paper, we propose an IEEE 802.15.10-based layer 2 routing (L2R) method with a load balancing algorithm; the proposal considers fairness in terms of the cumulative number of sending packets at each terminal to resolve the packet concentration problem for the IEEE 802.15.4-based low-power consumption wireless smart utility network (Wi-SUN) systems. The proposal uses the accumulated sending times of each terminal as a weight in calculating each path quality metric (PQM) to decide multi-hopping routes with load balancing in the network. Computer simulation of the mesh network with 256 terminals shows that the proposed routing method can improve the maximum sending ratio (MSR), defined as the ratio of the maximum sending times to the average number of sending times in the network, by 56% with no degradation of the end-to-end communication success ratio (E2E-SR). The proposed algorithm is also experimentally evaluated by using actual Wi-SUN modules. The proposed routing method also improves the MSR by 84% with 70 terminals. Computer simulations and experiments prove the effectiveness of the proposed method in terms of load balancing.
ER -
English
