An accident could stop a business in seconds. So prevent it from happening and always turn on safety awareness button before you start.This bracelet bundles triple-tech Real-Time Location System (RTLS) technologies to deliver precise real time positioning data so that a host RTLS safety application or an integrated physical security platform can track the where about of the individual anywhere within the facility. The bracelet features a large duress call button designed especially for healthcare patients and senior citizens. Pressing the button causes the tag to transmit positioning data that identifies the person requiring assistance and the precise building location of the involving medical or safety incident for speedier and more effective response efforts.
Wireless sensor networks are the most widely used technologies with a wide range of applications and data collection processes. WSN is the major component for real-time data collection at various places where human intervention is difficult. With so many features, advantages, and impact WSN have some major challenges and hurdles, and these challenges the performance of the WSN is reducing and affecting the application part. This paper discusses the impact of WSN, and why WSN is gaining so much impact in recent days from a business perspective. A detailed survey and analysis made on the major challenges of WSN are carried out to identify the major performance factor of WSN. This paper aims to solve the major performance factor of WSN - power optimization, using novel cluster-based multipath routing. The proposed routing ensures the energy efficiency of the WSN for the data transfer process. Finally, the proposed method will be compared over some standard algorithms to analyze the performance in terms of the lifetime of the network and packet transmission by the sensor.
the technology of wireless sensor-actuator networks (WSANs) is widely employed in the applications of IoT due to its wireless nature and it does not involve any wired structure. The wireless systems that are battery-driven can easily reconfigure the existing devices and sensors efficiently in the manufacturing units without employing any cable for power operation as well as for communication. The wireless sensor-actuator networks that are based on IEEE 802.15.4 consumes significantly less power. These networks are designed and built cost-effectively by considering the capacity of battery and expense so that they can be employed for many applications. The application of a typical wireless Autonomous Scheduling and Distributed Graph Routing (DDSR) has illustrated the reliability of employing its basic approaches for almost ten years and it consists of the accurate plot for routing and time-slotted channel hopping therefore ensuring accurate low-power wireless communication in the processing site. Officially declared by the controversial statements associated with the government of Greek experiences fourth industrialization. There is a huge requirement for sensor nodes link via WSAN in the industrial site. Also, reduced computational complexity is one of the drawbacks faced by the existing standards of WSAN which is caused because of their highly centralized traffic management systems and thereby significantly improves the consistency and accessibility of network operations at the expense of optimization. This research work enables the study of efficient Wireless DGR network management and also introduces an alternative for DDSR by enabling the sensor nodes to determine their data traffic routes for the transmission of data. When compared to the above two physical routing protocols, the proposed technique can drastically improve the performance of a network, throughput, and energy consumption under various aspects. Energy harvesting (EH) plays a significant role in the implementation of large IoT devices. The requirement for subsequent employment of power sources is eliminated by The efficient approach of Energy Harvesting and thereby providing a relatively close- perpetual working environment for the network. The structural concept of routing protocols that are designed for the IoT applications which are based on the wireless sensor has been transformed into "energy-harvesting-aware" from the concept of "energy-aware" because of the development in the Energy harvesting techniques. The main objective of the research work is to propose a routing protocol that is energy-harvesting-aware for the various network of IoT in case of acoustic sources of energy. A novel algorithm for routing called Autonomous Scheduling and Distributed Graph Routing (DDSR) has been developed and significantly improved by incorporating a new “energy back-off” factor. The proposed algorithm when integrated with various techniques of energy harvesting enhances the longevity of nodes, quality of service of a network under increased differential traffic, and factors influencing the accessibility of energy. The research work analyses the performance of the system for various constraints of energy harvesting. When compared to previous routing protocols the proposed algorithm achieves very good energy efficiency in the network of distributed IoT by fulfilling the requirements of QoS.
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