Title
Battery Energy Management in Heterogeneous Wireless Machine-to-Machine Networks
Abstract
The IETF standardized the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) to meet routing requirements of the emerging applications. RPL is a distributed routing protocol and shows good scalability and fast network setup. However, RPL does not support sleep operation well. To provide efficient energy management and enhance RPL for sleep operation support, this paper presents battery energy management solutions for heterogeneous wireless machine-to-machine networks containing both battery powered nodes and mains powered nodes. We introduce a distributed sleep model for battery powered nodes to manage their own sleep schedules based on their internal parameters and observed network conditions. We propose two broadcast message delivery methods for battery operated networks that use distributed sleep control. Two battery node aware routing metrics are introduced to discover more battery energy efficient routes. We also present a battery energy efficient routing protocol called B-RPL to leverage distributed sleep model and introduced routing metrics. A battery energy efficient data packet transmission and forwarding method is provided to select the most battery energy efficient route among multiple active routes to transmit and forward data packets. Simulation results show that compared with standard RPL, the proposed B-RPL can extend network lifetime by two times and improve data packet delivery rate by 75%.
Year
DOI
Venue
2015
10.1109/VTCFall.2015.7390853
2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)
Keywords
Field
DocType
data packet transmission and forwarding method,data packet delivery rate,battery energy efficient routing protocol,battery energy efficient route,battery node aware routing metrics,distributed sleep control,broadcast message delivery method,distributed sleep model,distributed routing protocol,RPL,IPv6 Routing Protocol,IETF standardization,heterogeneous wireless machine-to-machine network,battery energy management
Link-state routing protocol,Dynamic Source Routing,Computer science,Static routing,Enhanced Interior Gateway Routing Protocol,Computer network,Wireless Routing Protocol,Routing table,Zone Routing Protocol,Routing protocol
Conference
Citations 
PageRank 
References 
1
0.39
5
Authors
5
Name
Order
Citations
PageRank
Kaikai Liu119020.37
Jianlin Guo2345.38
Philip V. Orlik339059.37
Kieran Parsons43813.60
Kentaro Sawa540.78