Reliable source to sink communication is the most important factor for an efficient routing protocol especially in domains of military, healthcare and disaster recovery applications. We present weighted energy aware multipath reliable routing (WEAMR), a novel energy aware multipath routing protocol which utilizes hotline-assisted routing to meet such requirements for mission critical applications. The protocol reduces the number of average hops from source to destination and provides unmatched reliability as compared to well known reactive ad hoc protocols i.e., AODV and AOMDV. Our protocol makes efficient use of network paths based on weighted cost calculation and intelligently selects the best possible paths for data transmissions. The path cost calculation considers end to end number of hops, latency and minimum energy node value in the path. In case of path failure path recalculation is done efficiently with minimum latency and control packets overhead. Our evaluation shows that our proposal provides better end-to-end delivery with less routing overhead and higher packet delivery success ratio compared to AODV and AOMDV. The use of multipath also increases overall life time of WSN network using optimum energy available paths between sender and receiver in WDNs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690056 | PMC |
http://dx.doi.org/10.3390/s130506295 | DOI Listing |
J Hum Nutr Diet
February 2025
Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
Background: During lactation, maternal requirements for many nutrients increase due to the physiological demands of breast milk production, reflected in dietary recommendations. BMI is negatively associated with dietary quality postpartum, and 40% of women in Norway have pre-pregnancy overweight and obesity. Currently, there is limited data on dietary intake among lactating women in Norway and whether they meet nutritional requirements.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Molecular Biology and Biotechnology, University of Dar-es-salaam, Tanzania.
Sustainable agricultural practices are essential to meet food demands for the increased population while minimizing the environmental impact. Considering rice as staple food for most of the world's population, it requires innovative approaches to ensure sustainable production. In this paper, we create a hypothesis that integrated nutrient management (INM) acts as a source of energy for microbes and improves the physical, chemical and biological properties of soils, but the current understanding of how soil microbiomes interact in integrated nutrient management toward mediating climate stress to support sustainable rice crop production is limited.
View Article and Find Full Text PDFNat Commun
January 2025
School of Applied and Engineering Physics, Cornell University, Ithaca, NY, USA.
Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved energy efficiency compared to digital electronic neural networks. However, they are typically operated in a relatively high-power regime so that the signal-to-noise ratio (SNR) is large (>10), and the noise can be treated as a perturbation.
View Article and Find Full Text PDFPhys Med
January 2025
Department of Medical Physics, Apollo Proton Cancer Centre, 100 Feet Road Taramani, Chennai, Tamil Nadu, India. Electronic address:
Objectives: The purpose of this study was to investigate the fundamental properties of spot-scanning proton beams and compare them to Monte Carlo (MC) simulations, both with and without CT calibration, using spatially diverse combinations of materials.
Methods: A heterogeneous phantom was created by spatially distributing titanium, wax, and thermocol to generate six scenarios of heterogeneous combinations. Proton pencil beams ranging in energy from 100 to 226.
The development of China's National Carbon Market has strengthened the inherent link between the carbon market and the broader energy market, providing a potential for cross-market risk transmission resonance. Studying the risk spillover effects between China's National Carbon Market and the crude oil futures market is of significant practical importance, both in terms of carbon market development and carbon risk management. Based on the Maximal Overlap Discrete Wavelet Transform (MODWT), the price series are decomposed across multiple scales, and the risk spillover effects between the carbon market and the crude oil futures market are examined from both the time domain and the frequency domain.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!