دانلود رایگان مقاله انگلیسی ایجاد یک اینترنت اشیا پایدار - نشریه IEEE

Abstract:

The Internet of Things (IoT) is a framework built as a network of trillions of devices (called things) communicating with each other to offer innovative solutions to real-time problems. These devices monitor the physical environment and disseminate collected data back to the base station. In many cases, the sensor nodes have limited resources like energy, memory, low computational speed, and communication bandwidth. In this network scenario, sensors near the data collector drain energy faster than other nodes in the network. A mobile sink is a solution in sensor networks in which the network is balanced with node energy consumption by using a mobile sink in the sensing area. However, the position of the mobile sink instigates packet overhead and energy consumption. This article discusses a novel data-routing technique to forward data toward a base station using a mobile data collector, in which two data collectors follow a predefined path to collect data by covering the entire network. The proposed technique improves the network performance, including energy consumption and sensing area lifetime.

CONCLUSION AND FUTURE DIRECTION

In the IoT, tiny sensors are deployed to sense networks within scenarios where the sensors have limited battery capacity and battery replacement takes effort. In such a situation, the main challenging issue is the better utilization of the limited energy of the sensor node to prolong the network lifetime. An energy constraint sensor was the major design focus of this article. In the proposed routing, two mobile data collectors were used to collect data from the sensor field, which was divided into two partitions. Mobile data collectors rotated on the predefined elliptical path, and they collected data from individual sensors, sent a beacon message to the neighboring forwarding nodes, collected the sensed data from the forwarding nodes, and delivered the collected data to the base station located at the center of the sensor field. The performance of the proposed routing was superior in terms of average control packet energy consumption, average energy consumption, data delivery latency, and low end-to-end latency. This routing technique solves the energy-hole problem and has great potential for IoT applications.