Energy efficient distributed image compression in resource-constrained multihop wireless networks

Abstract

Abstract-Efficient compression and transmission of images in a resource constrained multihop wireless network is considered. Distributed image compression is proposed as a means to overcome the computation and/or power limitation of individual nodes by sharing the processing of tasks. It has the additional benefit of extending the overall lifetime of the network by distributing the computation load among otherwise idle processors. Two design alternatives for energy efficient distributed image compression are proposed and investigated with respect to energy consumption and image quality. Simulation results show that the proposed scheme prolongs the system lifetime at a normalized total energy consumption comparable to centralized image compression.

A Survey of Image Compression Algorithms for Visual Sensor Networks

“…In the next scheme, the image is partitioned into tiles, and each tile is sent to a node to do 2D wavelet transform independently. The authors in [87] show, by simulation, that the distributed scheme improves significantly the network lifetime compared to a centralized approach.…”

“…In resource-constrained VSNs, the authors in [87] firstly notice the high energy consumption of JPEG2000. To make it light, they distribute the work load of wavelet transform to several groups of nodes along the path between the source and the destination using the concept of parallel distributed computing theory.…”

Distributed Image Compression Architecture over Wireless Multimedia Sensor Networks

“…The closest work to ours was presented by Wu et al [14]. In this study, the wavelet-based image compression standard JPEG2000 is chosen as an image compression technique.…”

“…Although many image compression techniques have been proposed, most are very complicated and have high resource requirements; thus, they cannot perform well in a resourceconstrained WMSN [13][14][15][16]. If the image compression process relies on a single SN, this sensor node may quickly run out of energy.…”

“…Section 5 provides details on the simulation configuration and then presents and discusses the results. The performance of our proposed architecture is evaluated with respect to various metrics, in comparison with an energy-efficient distributed image compression scheme in resource-constrained multihop wireless networks (EEDIC) [14], a two-hop clustered image transmission scheme for maximizing network lifetime in wireless multimedia sensor networks (2HCIT) [19], and a traditional and simplified routing protocol, namely, lowenergy adaptive clustering (LEACH) [6]. Finally, the conclusions and the future research directions are discussed in Section 6.…”