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Further, with the introduction of concepts such as Internet of Things (Io Ts), nearly countless number of devices will be connected in a global network through wireless interfaces, using standard protocol solutions.The connectivity of these plethora of devices will be heavily relying on wireless communications and therefore, the challenges such as scalability, reliability, signal coexistence, data rate and energy consumption faced by the existing systems need to be thoroughly analyzed.
The performance of the proposed algorithm is evaluated through simulation and experiments.
Simulation results show that our algorithm improves the overall WLAN throughput by up to 37%, compared with the conventional RSSI-based approach.
In this paper, the authors have presented work on multi-resource scheduling model based on Dijkstra and multi-ant colony optimization algorithms.
The concept model of mobile resource scheduling is put forward, and the detailed introduction of each dimension is presented and multi-resource scheduling model based on Dijkstra and multi-ant colony optimization algorithms are established respectively.
The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system.
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Wireless communication is playing an increasingly important role in such distributed systems.
The recent revival of artificial intelligence (AI) is revolutionizing almost every branch of science and technology.
Given the ubiquitous smart mobile gadgets and Internet of Things (Io T) devices, it is expected that a majority of intelligent applications will be deployed at the edge of wireless networks.
In addition, the proposal for 5G technologies aims to provide very high data-rates, massive number of devices connectivity, very high reliability and low latencies.
Therefore, efforts are underway to consider beyond state of-the-art protocols and mechanisms for wireless communication.