Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A bit-map-assisted energy-efficient MAC scheme for wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
"GANGS": an energy efficient MAC protocol for sensor networks
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
TinyDB: an acquisitional query processing system for sensor networks
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
An interference free cluster-based TDMA protocol for wireless sensor networks
WASA'06 Proceedings of the First international conference on Wireless Algorithms, Systems, and Applications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
International Journal of Ad Hoc and Ubiquitous Computing
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To increase network lifetime, and reduce energy consumption of a WSN, this paper proposes a Generalised Energy-Efficient Time-Based Communication Protocol (GET). GET is a distributed approach that jointly optimises the routing tree and the medium access schedule for data transmissions. GET works in rounds, each round is composed of four phases, namely: selecting gateways, building a routing tree, establishing a TDMA schedule, and data transmission. GET is compared with EAD and LEACH via extensive simulation experiments. Simulation results show that our proposal can provide significant improvement in terms of network lifetime, aggregate throughput, and energy consumption.