TY - GEN
T1 - Link quality and local load balancing routing mechanisms in wireless sensor networks
AU - Diallo, Chérif
AU - Marot, Michel
AU - Becker, Monique
PY - 2010/8/13
Y1 - 2010/8/13
N2 - The choice of a routing protocol in a wireless sensor network (WSN) depends on the nature of the application and on its primary mission. Lot of works addressed the problem of routing mechanisms with more or less effectiveness, some of which pointed out the use of the link quality indicator (LQI) as a route selection criterion (metric). In a previous work, following an experimental study, we have shown [1], under some conditions, the inefficiency of the LQI based routing. In this paper, we propose a simple way, to improve reliability and efficiency of the LQI based routing in WSN. We also evaluate other route selection criteria including the "remaining energy level" and the "sensor proximity with respect to the Base Station (BS)". The proposed local load balancing routing protocol is aimed to help source nodes to exploit potential capabilities of their respective neighbors without having any knowledge of their properties such as the position or the energy level. Simulation results show that our adaptation of the LQI metric is among the best route selection criteria regardless of the performance criterion under consideration, and that the load balancing significantly improves the routing efficiency by lengthening the network lifetime while minimizing packet losses.
AB - The choice of a routing protocol in a wireless sensor network (WSN) depends on the nature of the application and on its primary mission. Lot of works addressed the problem of routing mechanisms with more or less effectiveness, some of which pointed out the use of the link quality indicator (LQI) as a route selection criterion (metric). In a previous work, following an experimental study, we have shown [1], under some conditions, the inefficiency of the LQI based routing. In this paper, we propose a simple way, to improve reliability and efficiency of the LQI based routing in WSN. We also evaluate other route selection criteria including the "remaining energy level" and the "sensor proximity with respect to the Base Station (BS)". The proposed local load balancing routing protocol is aimed to help source nodes to exploit potential capabilities of their respective neighbors without having any knowledge of their properties such as the position or the energy level. Simulation results show that our adaptation of the LQI metric is among the best route selection criteria regardless of the performance criterion under consideration, and that the load balancing significantly improves the routing efficiency by lengthening the network lifetime while minimizing packet losses.
KW - Degree of connectivity
KW - LQI
KW - Load balancing
KW - Remaining energy
KW - Round-robin routing
KW - Routing
KW - Wait and see (WaS) protocol
KW - Weighted round-robin routing
KW - Wireless sensors networks (WSN)
U2 - 10.1109/AICT.2010.27
DO - 10.1109/AICT.2010.27
M3 - Conference contribution
AN - SCOPUS:77955397239
SN - 9780769540214
T3 - 6th Advanced International Conference on Telecommunications, AICT 2010
SP - 306
EP - 315
BT - 6th Advanced International Conference on Telecommunications, AICT 2010
T2 - 6th Advanced International Conference on Telecommunications, AICT 2010
Y2 - 9 May 2010 through 15 May 2010
ER -