Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Distributed Clustering for Ad Hoc Networks
ISPAN '99 Proceedings of the 1999 International Symposium on Parallel Architectures, Algorithms and Networks
Resilient aggregation in sensor networks
Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Proceedings of the 3rd international conference on Embedded networked sensor systems
Distributed fault detection of wireless sensor networks
DIWANS '06 Proceedings of the 2006 workshop on Dependability issues in wireless ad hoc networks and sensor networks
Reputation-based framework for high integrity sensor networks
ACM Transactions on Sensor Networks (TOSN)
Adaptive security level for data aggregation in wireless sensor networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
A Backbone-Aware Topology Formation (BATF) Scheme for ZigBee Wireless Sensor Networks
Wireless Personal Communications: An International Journal
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This paper presents an efficient and scalable framework called Reliable and Energy Efficient Framework (REEF) for reliable data collection in Wireless Sensor Networks. REEF employs a distributed scheme which enables it to scale to large networks. It partitions the network in to clusters where the node with highest residual energy in a neighborhood become the cluster head. REEF forms a virtual backbone connecting the cluster heads and the sink by selecting some nodes from each cluster as gateway nodes. Sensor nodes report sensed data to their respective cluster heads which use an outlier detection algorithm to detect faulty data. REEF significantly cuts down on energy consumption by ensuring that a large number of sensor nodes can go into a deep sleep mode, in which the radio as well as CPU are switched ott, for a major part of their life time. Simulation results demonstrate that REEF uses as low as 50% of the energy for the same accuracy when compared to a recently proposed scheme based on passive listening.