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We propose localized, self organizing, robust, and energy-efficient data aggregation tree approaches for sensor networks, which we call Localized Power-Efficient Data Aggregation Protocols (L-PEDAPs). They are based on topologies, such as LMST and RNG, that can approximate minimum spanning tree and can be efficiently computed using only position or distance information of one-hop neighbors. The actual...
For node-intensive sensor networks, hierarchical topology control can effectively save energy. Based on the existing two-layer model, we propose a logical three-tiered topology control model which consist of relay nodes(RNs), application nodes(ANs) and sensor nodes(SNs). Under this architecture, the goal of lower-tier SNs is to sense the playing fields and middle-tier ANs only neeed to gather data...
We propose FlexiMAC, a novel TDMA-based protocol for efficient data gathering in wireless sensor networks that provides end-to-end guarantees on data delivery: throughput, fair access, and robust self-healing, whilst also respecting the severe energy and memory constraints of wireless sensor networks. FlexiMAC achieves this balance through a synchronized and flexible slot structure in which nodes...
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