Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
A Wakeup Scheme for Sensor Networks: Achieving Balance between Energy Saving and End-to-end Delay
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Energy-aware delay-constrained routing in wireless sensor networks: Research Articles
International Journal of Communication Systems - Special Issue: QoS Support and Service Differentiation in Wireless Networks
Exploring the Energy-Latency Trade-Off for Broadcasts in Energy-Saving Sensor Networks
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Transmission power control techniques for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
mWSN for Large Scale Mobile Sensing
Journal of Signal Processing Systems
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Wireless sensor networks (WSNs) consist of large numbers of unattended sensors with limited storage, energy (battery power) and computational and communication capabilities. Because battery power is the most crucial resource for sensor nodes and delay time is a critical metric for certain WSN applications that require fast response time, data dissemination between source sensors and sinks, which is an essential activity in WSNs, should be done in an energy efficient and timely manner. In this paper, we characterize the trade-off between energy savings and source-to-sink delay in order to extend the operation of individual sensors and hence increase the lifetime of the WSN, and enable sinks to receive sensed data in a timely fashion and make appropriate decisions quickly. To this end, the proposed data dissemination protocol decomposes the transmission range of sensors into a certain number of concentric circular bands (CCBs) based on a minimal distance between consecutive forwarding sensors. Then, it provides a classification of these CCBs based on their exterior radii which will help a source sensor express its degree of interest (DoI) in minimizing two metrics, namely energy consumption and source-to-sink delay. We prove that the use of sensors nodes, which lie on or closely to the shortest path between a source and the sink, as proxy forwarders, helps minimize these two metrics. Our numerical results show that the second CCB minimizes energy consumption; the last CCB minimizes source-to-sink delay; and the middle CCBs trade off between the two metrics in disseminating the monitored data towards the sink.