Flow-Based Real-Time Communication in Multi-Channel Wireless Sensor Networks
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Real-time data aggregation in contention-based wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Reducing data aggregation latency by using partially overlapped channels in sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Efficient data aggregation in multi-hop WSNs
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
MCRT: Multichannel Real-Time Communications in Wireless Sensor Networks
ACM Transactions on Sensor Networks (TOSN)
Adaptive real-time query scheduling for wireless sensor networks
Proceedings of the 14th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Efficient scheduling for periodic aggregation queries in multihop sensor networks
IEEE/ACM Transactions on Networking (TON)
Cell-based snapshot and continuous data collection in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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With the emergence of high data rate sensor net-work applications, there is an increasing demand for high-performance queryservices in such networks. To meet this challenge, we propose Dynamic Conflict-free Query Scheduling (DCQS), a novel schedulingtechnique for queries in wireless sensor networks. In contrast to earlier TDMA protocols designed for general-purpose networksand workloads, DCQS is specifically designed for query services supporting in-network data aggregation. DCQS has several importantfeatures. First, it optimizes the query performance and energy efficiency by exploiting the temporal properties and precedenceconstraints introduced by data aggregation. Second, it can efficiently adapt to dynamic workloads and rate changes withoutexplicitly reconstructing the transmission schedule. In addition, we provide an analytical capacity bound for DCQS in termsof query completion rate. This bound enables DCQS to handle overload through rate control. NS2 simulation results demonstratethat DCQS significantly outperforms a representative TDMA protocol (DRAND) and the 802.11 protocol in terms of query latency,throughput, and energy efficiency.