Power Conservation in ZigBee Networks using Temporal Control
Arun Viswanathan, Terrance E. Boult
Abstract
Arun Viswanathan, Terrance E. Boult
Abstract
This paper addresses power reduction in wireless sensor networks (WSNs), proposing an application-level solution for the IEEE 802.15.4 compliant ZigBee protocol. ZigBee protocol supports the least power-consuming 'sleep' mode of operation only for end-nodes that do not route packets. This significantly limits ZigBee's WSN applications. This paper presents a ZigBee-based power-conserving network design in which a multi-mode scheduler can be used at the application-level for all network nodes that brings the whole net up and down. This allows all nodes to 'deep sleep', hence increasing the per-node lifetime, leading to an increased overall network lifetime. Results of network simulations with a rate monotonic-based scheduler, schedules operating times for various nodes in the entire network, setting the devices to the lowest power operating mode - sleep mode - for all other times when no operation needs to be performed. When the network wakes up, all nodes necessary for a particular scheduled transmission awake and rebuild the ZigBee network. The paper presents power savings estimates from simulations showing significant advantages over standard ZigBee
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This paper addresses power reduction in wireless sensor networks (WSNs), proposing an application-level solution for the IEEE 802.15.4 compliant ZigBee protocol. ZigBee protocol supports the least power-consuming 'sleep' mode of operation only for end-nodes that do not route packets. This significantly limits ZigBee's WSN applications. This paper presents a ZigBee-based power-conserving network design in which a multi-mode scheduler can be used at the application-level for all network nodes that brings the whole net up and down. This allows all nodes to 'deep sleep', hence increasing the per-node lifetime, leading to an increased overall network lifetime. Results of network simulations with a rate monotonic-based scheduler, schedules operating times for various nodes in the entire network, setting the devices to the lowest power operating mode - sleep mode - for all other times when no operation needs to be performed. When the network wakes up, all nodes necessary for a particular scheduled transmission awake and rebuild the ZigBee network. The paper presents power savings estimates from simulations showing significant advantages over standard ZigBee
Key concepts: Sleep mode, NeuRFon, Computer science, Network packet, Wireless sensor network, Computer network, Node (physics), Embedded system