A Cooperative Cache Management Scheme for IEEE802.15.4 based Wireless Sensor Networks

Wireless Sensor Networks (WSNs) based on the IEEE 802.15.4 MAC and PHY layer standards is a recent trend in the market. It has gained tremendous attention due to its low energy consumption characteristics and low data rates. However, for larger networks minimizing energy consumption is still an issue because of the dissemination of large overheads throughout the network. This consumption of energy can be reduced by incorporating a novel cooperative caching scheme to minimize overheads and to serve data with minimal latency and thereby reduce the energy consumption. This paper explores the possibilities to enhance the energy efficiency by incorporating a cooperative caching strategy

Hydrogen rich Syngas by Steam gasification of Waste Lignocellulosic Biomass

The depleting petroleum reserve, as well as increasing demand for crude oil, has attracted the research interest for alternative sources of energy. The surplus lignocellulosic biomass such as forest residues, crop residues, and weeds may be a potential source to derive biofuel by the thermochemical route. Gasification is an established technology for the utilization of biomass to obtain producer gas containing mainly H2 and CO as combustibles. The air-blown biomass gasifiers are widely installed where the resulting producer gas contains 55-60 per cent nitrogen and a lower percentage of H2 and CO with an H2/CO ratio of less than one. Gasification of lignocellulosic biomass using steam as an oxidant produces syn-gas with a lower amount of nitrogen, a higher percentage of hydrogen, and H2/CO > 2.1. Steam as an oxidant favors water gas shift reaction with the formation of hydrogen and enhances the H2/CO ratio. The ratio of steam to biomass was 1.20-1.25 so the water gas shift reaction and steam reforming of methane occur. The percentage of hydrogen in the syngas obtained by gascification of pine needles, camelina straw and Lantana biomass was 56.8, 68.7, and 72.8 per cent respectively. The present article describes the steam gasification of pine needle biomass, crop residue from Camelina sativa, and biomass from weed i.e. Lantana camara to produce syngas with a higher H2/CO ratio along with a high calorific value compared to the one with air-blown gasification

Review Paper on Quantum Technology for Use with Optical Fiber

As in our day to day life communication has become very vital. Its importance has increased so much, that it has become vital for our survival. Moreover, information is dependent on physical system upon which it is processed and by which is carried. If we talk about optical communication, it can be thought as form of colored smoke signals. Today's we are covering our planet in a network of optical fibers. In this paper, our research is based on quantum technology where each particle is described by a quantum wave function characterizing the state of the system. The ability to generate, manipulate, transmit and detect a single or very few photon(s) may open new routes that can trigger a completely new generation of communication systems. Scientists at Dutch University have conducted an experiment that proves one of the most radical claims of quantum theory called “entanglement”, which Einstein famously rejected. This is a property in which objects separated by great distance can interact and instantaneously affect each other’s behavior. The experiment also proves subatomic particles do not take form until they are observed. It shows that quantum technologies can address two of the more challenging problems communication engineers face nowadays: capacity and security. Indeed, by radically decreasing the number of photons used to encode each bit of information, we can more efficiently explore the full capacity to carry information of optical fibers

A survey on the Performance Optimization in Wireless Sensor Networks using Cross Layer Approach

Abstract- The performance of Wireless Mesh Networks is not optimal by using the conventional layered protocols (TCP-IP). Then the method of optimization at different layers of the protocol stack (TCP-IP) can help to achieve optimal network performance. This method usually results in a clean-slate protocol architecture that is different from the protocol architecture of WMNs. Such a difference actually demonstrates the need for a cross-layer design. Specific features pertaining to WMNs also show the need for cross-layer optimization across different protocol layers. In this paper, the need for cross layer design in WMNs is discussed first. Later in this paper we will discuss the different cross layer optimization schemes and algorithms between different protocol layers are discussed. Wireless ad-hoc networks can be further classified into the following different categories according to their applications � Mobile ad-hoc Networks (MANETS

Prediction of health monitoring with deep learning using edge computing

Today's modern computing environment provides a smart healthcare monitoring system for early prediction of fall detection. The Internet of Things-based health model plays a significant role in the health care service area and helps to improve the processing of data and its prediction. Transferring reports or data from one place to another takes too much time and energy, and it will cause high latency and energy issues. To handle these kinds of hazards, edge computing provides solutions. In this paper w presents smart healthcare system issues, services, and applications. Furthermore, propose a CNN-based prediction model with the use of edge computing and IoT paradigms. Edge computing is a distributed environment framework that enables rapid resource availability and response time through local edge servers computed at the end of IoT devices. The CNN model is used to analyse the health data collected by IoT devices. Furthermore, the role of edge devices is to provide doctors and patients with timely health-prediction reports via edge servers. The proposed mechanism can be analysed using accuracy and error rate performance parameters. In the proposed mechanism, the accuracy is 99.23% in comparison with other techniques

ΔNp73/ETS2 complex drives glioblastoma pathogenesis- targeting downstream mediators by rebastinib prolongs survival in preclinical models of glioblastoma.

BACKGROUND Glioblastoma (GBM) remains one of the least successfully treated cancers. It is essential to understand the basic biology of this lethal disease and investigate novel pharmacological targets to treat GBM. The aims of this study were to determine the biological consequences of elevated expression of ΔNp73, an N-terminal truncated isoform of TP73, and to evaluate targeting of its downstream mediators, the angiopoietin 1 (ANGPT1)/tunica interna endothelial cell kinase 2 (Tie2) axis, by using a highly potent, orally available small-molecule inhibitor (rebastinib) in GBM. METHODS ΔNp73 expression was assessed in glioma sphere cultures, xenograft glioblastoma tumors, and glioblastoma patients by western blot, quantitative reverse transcription PCR, and immunohistochemistry. Immunoprecipitation, chromatin immunoprecipitation (ChiP) and sequential ChIP were performed to determine the interaction between ΔNp73 and E26 transformation-specific (ETS) proto-oncogene 2 (ETS2) proteins. The oncogenic consequences of ΔNp73 expression in glioblastomas were examined by in vitro and in vivo experiments, including orthotopic zebrafish and mouse intracranial-injection models. Effects of rebastinib on growth of established tumors and survival were examined in an intracranial-injection mouse model. RESULTS ΔNp73 upregulates both ANGPT1 and Tie2 transcriptionally through ETS conserved binding sites on the promoters by interacting with ETS2. Elevated expression of ΔNp73 promotes tumor progression by mediating angiogenesis and survival. Therapeutic targeting of downstream ΔNp73 signaling pathways by rebastinib inhibits growth of established tumors and extends survival in preclinical models of glioblastoma. CONCLUSION Aberrant expression of ΔNp73 in GBM promotes tumor progression through autocrine and paracrine signaling dependent on Tie2 activation by ANGPT1. Disruption of this signaling by rebastinib improves tumor response to treatment in glioblastoma