HANS: Harvesting aware networking service for energy management in wireless sensor networks

Glatz, Philipp M.; Hormann, Leander B.; Steger, Christian; Weiß, Reinhold

doi:10.1109/cts.2011.5898914

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Glatz et al [15] improved WSN technology, the best in class technology for continuous frameworks given by overall ecological vitality. Along these lines, a few viewpoints have been considered in writing up until this point: EHS outline, vitality prephrasing demonstration, reaping mindful media 2…”

Section: Related Workmentioning

confidence: 99%

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Indira¹,

Sobhana

Ram³

et al. 2023

Wireless Communications and Mobile Computing

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Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.

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Section: Related Workmentioning

confidence: 99%

Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Indira¹,

Sobhana

Ram³

et al. 2023

Wireless Communications and Mobile Computing

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“…In an endeavor to propose a stack for energy harvesting wireless sensor nodes Glatz et al, suggest a cross-layer approach [76]. Their recommendations include a scheme that uses synchronized duty cycling adaptation using a scheme involving sync messages piggybacked with networking messages.…”

Section: A Medium Access Control Protocolsmentioning

confidence: 99%

Reincarnation in the Ambiance: Devices and Networks with Energy Harvesting

Prasad

Devasenapathy

Rao

et al. 2014

IEEE Commun. Surv. Tutorials

101

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Abstract-Miniaturization of devices with higher computational capacity coupled with advancement in communication technologies is driving the growth of deployment of sensors and actuators in our surroundings. To keep up the pace with this growth, these tiny, battery-powered devices need small-sized and high-energy density batteries for longer operation time, which calls for improvement in battery technologies. An alternative is to harvest energy from the environment. An important aspect of energy harvesting is that the devices go through birth and death cycle with respect to their power unlike battery powered ones. Another important aspect is that context information is also generated while devices harvest energy from their ambiance. In this article we provide a comprehensive study of various types of energy harvesting techniques. We then provide some models used in energy harvesting systems and the design of such systems. We also throw light on the power management and networking aspects of the energy harvesting devices. At the end we discuss the major issues and avenues for further research.

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