Collaborative In-Network Processing of LT Based Image Compression Algorithm in WMSNs

Adaptive transmission range assignment algorithm for in-routing image compression on wireless sensor networks

“…The selected values on these pa rameters are used in relevant image compression literature [3], [17]. Using the constituent energy consumption formulae devel oped in III-B (Eq.…”

“…The en ergy consumption for the compression of a b-bit image size is calculated as follows [3] Ecompr(b) = Et ran s(b)+Ecoding(b) = bctrans + bccoding, (6) where the parameter Ct ran s = 20nJ /bit and Cc od ing = 90nJ /bit are energy consumed by the transforming and cod ing processes, respectively. The selected values on these pa rameters are used in relevant image compression literature [3], [17].…”

“…Lapped Transform) [2], [3], [11], and DWT [12] have been proposed. In these methods, the authors propose a method for sharing data compression tasks among nodes in WSNs to prolong system lifetime and improve the quality of received data at the base station.…”

“…In [3], the authors solve the energy imbalance problem by separating the tasks and allocating them to other nodes within the same cluster. This method requires five nodes, each of which is responsible for one task, thus prolonging the network lifetime.…”

Energy threshold adaptation algorithms on image compression to prolong WSN lifetime

“…There are many ways to reduce energy consumption in WSNs, such as through energy efficient routing protocols, the control of data traffic, data compression, and better management of sensing coverage [1]- [6]. In [5], the lapped biorthogonal transform (LBT) technique was used to prolong the lifetime of a network while preserving image quality.…”