The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing)
PMAC: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
A Spatiotemporal Query Service for Mobile Users in Sensor Networks
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Dynamic wake-up and topology maintenance protocols with spatiotemporal guarantees
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Zigbee Wireless Networking
Mobicast: just-in-time multicast for sensor networks under spatiotemporal constraints
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
MAC protocols for wireless sensor networks: a survey
IEEE Communications Magazine
| Hi-index | 0.01 |
This paper describes LocMAC, a new location aware power saving MAC layer for target tracking applications in Smart Space Environments. Target tracking applications focus on providing proximity based local services to mobile users within a fixed deployment of wireless nodes. Conventional wireless sensor MAC layers increase the lifespans of battery powered wireless nodes by scheduling sleep periods for the entire network, which are either of fixed length, or vary based upon current network metrics. LocMAC bases its sleep schedule on the relative physical location of network nodes and allows target tracking service to be guaranteed. It propagates user location updates, and uses this knowledge to perform 'Location Based Sleep Scheduling' (LBSS). LBSS describes the use of wireless node and network target positions to maximise the potential sleep periods. Adding knowledge of user mobility allows those nodes which will not be required by the network application to sleep for longer periods of time, waking up just in time to service network user requirements. The paper describes the operation of LocMAC and compares its performance against existing sleep scheduling MAC protocols through analysis and simulations of typical application scenarios. The results show that LocMAC performs significantly better for target tracking applications and is particularly appropriate for use in future Smart Spaces.