EASND: Energy Adaptive Secure Neighbour Discovery Scheme for Wireless Sensor Networks

Wireless Sensor Network (WSN) is defined as a distributed system of networking, which is enabled with set of resource constrained sensors, thus attempt to providing a large set of capabilities and connectivity interferences. After deployment nodes in the network must automatically affected heterogeneity of framework and design framework steps, including obtaining knowledge of neighbor nodes for relaying information. The primary goal of the neighbor discovery process is reducing power consumption and enhancing the lifespan of sensor devices. The sensor devices incorporate with advanced multi-purpose protocols, and specifically communication models with the pre-eminent objective of WSN applications. This paper introduces the power and security aware neighbor discovery for WSNs in symmetric and asymmetric scenarios. We have used different of neighbor discovery protocols and security models to make the network as a realistic application dependent model. Finally, we conduct simulation to analyze the performance of the proposed EASND in terms of energy efficiency, collisions, and security. The node channel utilization is exceptionally elevated, and the energy consumption to the discovery of neighbor nodes will also be significantly minimized. Experimental results show that the proposed model has valid accomplishment

Edge Computing and Blockchain in Smart Agriculture Systems

The advancement of Internet-based technologies has made huge progress toward improving the accessibility of "smart agriculture." With the advent of unmanned and automatic management, smart agriculture is now able to accomplish monitoring, supervision, and real-time picture monitoring. It is not possible to know for sure that the data in a smart agriculture system is complete and secure from intrusion. This article investigates and assesses the potential of edge computing and blockchain for use in smart agriculture. We combine the advantages of blockchain technology and the edge computing framework to create a smart agriculture framework system that is based on a very straightforward analysis of the evolution of smart agriculture. The study proposes a thorough method for emphasizing the significance of agriculture and edge computing, as well as the advantages of incorporating blockchain technology in this context. This paper also proposes an intelligent agricultural product traceability system design: edge computing with blockchain for smart agriculture. The study concludes with a discussion of outstanding problems and difficulties that can arise during the creation of a blockchain-based edge computing system for smart agriculture systems

Carbazole–pyrrolo[2,1-c][1,4]benzodiazepine conjugates: design, synthesis, and biological evaluation

A series of carbazole–pyrrolobenzodiazepine conjugates (4a–g and 5a–f) have been designed, and synthesized as anticancer agents. These compounds are prepared by linking the C8-position of DC-81 with a carbazole moiety through simple alkane spacers as well as piperazine side-armed alkane spacers in good yields. The DNA binding ability of these conjugates has been determined by thermal denaturation studies and also supported by molecular docking studies. These conjugates showed potent anticancer activity with GI50 ranging from 5.27–0.01 μM. The FACS analysis and BrdU assay of selected conjugates (4c, 4f, 5a and 5f) on MCF-7 cell lines disclosed the increased G1 cell cycle arrest and one of the conjugates 5f has exhibited significant anticancer activity. The analysis of the intrinsic factors involved in causing the G1 arrest in MCF-7 cell lines by 5f conjugate has been demonstrated on the proteins which play a vital role in G1 arrest followed by apoptosis (Cyclin D1, CDK4, c-Jun, JunB, CREB, p53, JNK1/2, procaspase-7, cleaved PARP, pRb, and BAX). Thus, these PBD conjugates (in particular 5f) have promising potency for combating human carcinoma