Power consumption is a critical problem affecting the lifetime of wireless sensor networks. A
number of techniques have been proposed to solve this issue, such as energy-efficient …

Energy consumption has risen to be a bottleneck in wireless sensor networks. This is
caused by the challenges faced by these networks due to their tiny sensor nodes that have …

Power saving is a critical issue in wireless sensor networks (WSNs) since sensor nodes are
powered by batteries which cannot be generally changed or recharged. As radio …

Energy is an important consideration in the design and deployment of wireless sensor
networks (WSNs) since sensor nodes are typically powered by batteries with limited …

Wireless sensor networks (WSNs) are highly resource constrained in terms of power supply,
memory capacity, communication bandwidth, and processor performance. Compression of …

The advancement in the wireless technologies and digital integrated circuits led to the
development of Wireless Sensor Networks (WSN). WSN consists of various sensor nodes …

Data compression is a useful technique in the deployments of resource-constrained wireless
sensor networks (WSNs) for energy conservation. In this letter, we present a new lossless …

Currently most energy-constrained wireless sensor networks are designed with the object of
minimizing the communication power at the cost of more computation. To achieve high …

In this paper, we present PINCO, an in-network compression scheme for energy
constrained, distributed, wireless sensor networks. PINCO reduces redundancy in the data …

Lossy temporal compression is key for energy-constrained wireless sensor networks
(WSNs), where the imperfect reconstruction of the signal is often acceptable at the data …