Motilal Nehru National Institute of Technology Allahabad

About: Motilal Nehru National Institute of Technology Allahabad is a education organization based out in Allahabad, Uttar Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 2475 authors who have published 5067 publications receiving 61891 citations. The organization is also known as: NIT Allahabad & Motilal Nehru Regional Engineering College.

Energy-Efficient Localization of Sensor Nodes in WSNs Using Beacons From Rotating Directional Antenna

Abstract: This paper presents an energy-efficient localization of sensor nodes in wireless sensor network (WSNs) using beacons from rotating directional antenna. The localization process is scalable, fast, and easily implementable at the nodes, and works for homogeneous as well as heterogeneous networks. The process is suitable for dense and sparse deployment of nodes because communication among nodes is not required and no transmission is needed from nodes to base station (BS). Furthermore, a rotating directional antenna is used at the BS to transmit beacon signal packet containing information about the height of the antenna, current direction, transmitted power, and GPS coordinate of BS. By using the information received from the beacon packets, each node estimates its location relative to BS (in polar coordinate). The time required, energy consumption, and accuracy are estimated analytically. Simulation results show that the proposed scheme improves accuracy and energy efficiency for two-dimensional localization of sensor nodes in WSNs.

Cluster size optimisation with Tunable Elfes sensing model for single and multi-hop wireless sensor networks

Abstract: Minimising energy dissipation and maximising network coverage are the crucial aspects of wireless sensor networks (WSNs). The nodes of a sensor network are grouped into several non-overlapping subset to facilitate the network scalability and design of energy efficient system. Selecting optimal clusters provide significant gain in terms of network lifetime, system scalability, collision avoidance and end-to-end delay. Network coverage is another critical issue which depends on sensing model like deterministic sensing model and probabilistic sensing model. In this paper, we have proposed Tunable Elfes Sensing Model. This model is preferable in case of remote area application in WSNs, where nodes in the core of network closer to base station (BS) are modelled deterministically, whereas peripheral nodes are modelled probabilistically. Thus, we can model energy efficient system with large coverage area. In this paper, we have provided expression for optimal cluster using Tunable Elfes sensing model of ...

Nanoengineered mesoporous silica nanoparticles for smart delivery of doxorubicin

Abstract: The motive of the at hand exploration was to contrive a proficient innovative pH-responsive nanocarrier designed for an anti-neoplastic agent that not only owns competent loading capacity but also talented to liberate the drug at the specific site. pH sensitive hollow mesoporous silica nanoparticles (~MSN) have been synthesized by sequence of chemical reconstruction with an average particle size of 120 nm. ~MSN reveal noteworthy biocompatibility and efficient drug loading magnitude. Active molecules such as Doxorubicin (DOX) can be stocked and set free from the pore vacuities of ~MSN by tuning the pH of the medium. The loading extent of ~MSN was found up to 81.4 wt% at pH 7.8. At mild acidic pH, DOX is steadily released from the pores of ~MSN. Both, the nitrogen adsorption–desorption isotherms and X-ray diffraction patterns reflects that this system holds remarkable stable mesostructure. Additionally, the outcomes of cytotoxicity assessment further establish the potential of ~MSN as a relevant drug transporter which can be thought over an appealing choice to a polymeric delivery system.

Biological and analytical techniques used for detection of polyaromatic hydrocarbons.

Abstract: Polycyclic aromatic hydrocarbons contain two or more fused benzene rings that are considered as cosmo-pollutants ubiquitously found in the environment. The identification and monitoring of polycyclic aromatic hydrocarbons (PAHs) are of great interests for rapid and on-site detection. Therefore, many analytical and biological techniques have been proposed for the qualitative and quantitative assessments of PAHs. Non-biological analytical techniques such as infrared, Raman, and fluorescence spectroscopies are commonly exploited as non-destructive techniques while gas chromatography (GC) and high-performance liquid chromatography (HPLC) with multiple detectors are extensively employed for the separation and detection of an analyte. Even though spectroscopy and chromatography are more accurate, convenient, and feasible techniques, often, these methods are expensive and sophisticated which require high maintenance cost. On the other hand, biological approaches, i.e., immunoassay, PCR, and microarray, offer comprehensive high-throughput specificity and sensitivity for a similar analyte. Biosensor- and immunoassay-mediated detections of PAHs have opened up new avenues in terms of low cost, rapid determination, and higher sensitivity. In this review, we have discussed the strengths and limitations of biological and analytical techniques that were explored for precise evaluation and were trusted at both the legislation and research levels.