The Internet of Things (IoT) and cloud computing have revolutionized the technological era unabatedly. These technologies have impacted our lives to a great extent. The traditional cloud model faces a variety of complications with the colossal growth of IoT and cloud applications, such as network instability, reduced bandwidth, and high latency. Fog computing is utilized to get around these problems, which brings IoT devices and cloud computing closer. Hence, to enhance system, process, and data performance, fog nodes are planted to disperse the load on cloud servers using fog computing, which helps reduce delay time and network traffic. Firstly, in this article, we highlight the various IoT–fog–cloud models for distributing the load uniformly. Secondly, an efficient solution is provided using fog computing for balancing load among fog devices. A performance evaluation of the proposed mechanism with existing techniques shows that the proposed strategy improves performance, energy consumption, throughput, and resource utilization while reducing response time.
Internet of Things provides connectivity and user interoperability among different systems, devices, networks and services in particular control systems. IoT can be envisioned as a network of connected devices which are capable of providing intelligent services. This paper presents a security surveillance system in buildings based on IoT using Raspberry Pi. It can be used at industries, homes and office etc, where the camera records the movement of objects and using IoT devices and the data is stored on to the server. The idea is to lock the door even from outside the house and it can be opened using the android phone itself. If some intruder tries to break or to get in anonymously, the system will detect the person and photo will be clicked by the security camera and send the message along with photo on to the owner's mail, thus creating the evidence for our safety. Some additional features for automation like rain sensing windows using rain sensor and servo motor and automatic light on/off for saving electricity and reduce human effort with IR senor and a simple led have also been implemented in this paper. Hardware implementation has been done for the proposed model and it will be applicable for monitoring home, industry, office etc. in the absence of user.
Power aware routing is the effective way to increase the life span of nodes having limited battery power in ad hoc networks. In MANET, Energy consumption is a significant issue since all of the mobile nodes are battery powered due to which lifetime of a network is restricted. In order to prolong the lifetime of ad hoc networks, the energy consumption of nodes should be minimized sincerely , exhaustion of energy of a single node causes link breakage in a network. In this paper, energy conscious routing procedures are analysed and an algorithm is proposed with simulation in MATLAB that will help to enhance the lifetime of network. Genetic algorithm gives the random solutions from the generations of paths and achieves the optimized performance. From the tentative consequences, it is resolved that network will be more energy efficient as compared to the earlier energy efficient algorithms.
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