Title :
Load balanced routing for low power and lossy networks
Author :
Xinxin Liu ; Jianlin Guo ; Bhatti, Ghulam ; Orlik, Philip ; Parsons, Kieran
Author_Institution :
Univ. of Florida, Gainesville, FL, USA
Abstract :
The RPL routing protocol published in RFC 6550 was designed for efficient and reliable data collection in low-power and lossy networks. Specifically, it constructs a Destination Oriented Directed Acyclic Graph (DODAG) for data forwarding. However, due to the uneven deployment of sensor nodes in large areas, and the heterogeneous traffic patterns in the network, some sensor nodes may have much heavier workload in terms of packets forwarded than others. Such unbalanced workload distribution will result in these sensor nodes quickly exhausting their energy, and therefore shorten the overall network lifetime. In this paper, we propose a load balanced routing protocol based on the RPL protocol, named LB-RPL, to achieve balanced workload distribution in the network. Targeted at the low-power and lossy network environments, LB-RPL detects workload imbalance in a distributed and non-intrusive fashion. In addition, it optimizes the data forwarding path by jointly considering both workload distribution and link-layer communication qualities. We demonstrate the performance superiority of our LB-RPL protocol over original RPL through extensive simulations.
Keywords :
data communication; graph theory; routing protocols; telecommunication network reliability; telecommunication traffic; wireless sensor networks; LB-RPL; RFC 6550; RPL routing protocol; destination oriented directed acyclic graph; heterogeneous traffic patterns; large-scale sensor network; link-layer communication; load balanced routing protocol; lossy networks; nonintrusive fashion; reliable data collection; sensor nodes deployment; unbalanced workload distribution; workload distribution; Data collection; Measurement; Relays; Reliability; Routing; Routing protocols; Load balanced routing; buffer capability utilization; link quality adaptation; low power and lossy networks; workload detection; workload signaling;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6554908