Multicluster, mobile, multimedia radio network
Wireless Networks
Dynamic Power Management in Wireless Sensor Networks
IEEE Design & Test
TEEN: ARouting Protocol for Enhanced Efficiency in Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Energy-Aware Target Localization in Wireless Sensor Networks
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Energy-Efficient Link Layer for Wireless Microsensor Networks
WVLSI '01 Proceedings of the IEEE Computer Society Workshop on VLSI 2001
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
Optimal Transmission Range for Cluster-Based Wireless Sensor Networks With Mixed Communication Modes
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
The hybrid mobile wireless sensor networks for data gathering
Proceedings of the 2006 international conference on Wireless communications and mobile computing
A Self-Reorganizing Slot Allocation protocol for multi-cluster sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Energy efficient system partitioning for distributed wireless sensor networks
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
QoS and energy aware routing for real-time traffic in wireless sensor networks
Computer Communications
Data dissemination strategies in mobile sink wireless sensor networks: a survey
WD'09 Proceedings of the 2nd IFIP conference on Wireless days
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In this paper, we propose a Quasi-Centralized Clustering Approach (QCCA), in which Wireless Sensor Network (WSN) partition into disjoint and equal-sized cells. Each cell has a powerful node, which acts as a cluster head. Hence, we consider a heterogeneous cluster-based WSN, which consists of two types of nodes: powerful clusterheads and ordinary sensor nodes. It leverages the advantages of small transmit distances for most nodes, requiring only a few nodes to transmit far distances to the base station. It completely eliminates redundant transmissions by ensuring, via carrier sensing (CSMA-CA), only one head sensor in each cell transmits and communicates with the sink, which can be either mobile or stationary. This approach reduces both energy consumption and communication bandwidth requirements, and prolongs the lifetime of the WSN. Simulation results show that a large amount of energy is saved using this strategy.