Energy-Scalable Protocols for Battery-Operated MicroSensor Networks
Journal of VLSI Signal Processing Systems - Special issue on signal processing systems design and implementation
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
SensEye: a multi-tier camera sensor network
Proceedings of the 13th annual ACM international conference on Multimedia
Power aware image transmission in energy constrained wireless networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Collaborative image coding and transmission over wireless sensor networks
EURASIP Journal on Applied Signal Processing
Low-complexity and energy efficient image compression scheme for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks
Computer Communications
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In traditional wireless sensor networks, normal sensor nodes which measure scalar physical phenomena like temperature, pressure and humidity usually compress the data before sending them out to minimize the communication energy consumption. However, this strategy may not be suitable for image transmission in wireless multimedia sensor networks. In the traditional clustering structure, when the camera-equipped node or the cluster head compresses the images, an energy hole will appear. This is a key factor that affects the lifetime of the network. To avoid the energy hole problem, a two-hop clustered image transmission scheme is proposed in this paper. In the proposed scheme, many redirectors are used to compress and forward the images for the purpose of reducing energy consumption of the camera-equipped node and the cluster head. With adaptive adjustment of the transmission radius in the camera cluster and tasks allocation based on the residual energy of the normal sensor nodes by the camera-equipped node, the energy consumption of the nodes in the network is balanced. The experimental results show that the proposed scheme can prolong the network lifetime dramatically in the case of the sensor nodes deployed densely.