دانلود رایگان مقاله انگلیسی به سوی محسبات سبز برای اینترنت اشیا: مسیر انرژی محور - الزویر 2017

Abstract

Recently, energy efficiency in sensor enabled wireless network domain has witnessed significant attention from both academia and industries. It is an enabling technological advancement towards green computing in Internet of Things (IoT) eventually supporting sensor generated big data processing for smart cities. Related literature on energy efficiency in sensor enabled wireless network environments focuses on one aspects either energy oriented path selection or energy oriented message scheduling. The definition of path also varies in literature without considering links towards energy efficiency. In this context, this paper proposes an energy oriented path selection and message scheduling framework for sensor enabled wireless network environments. The technical novelty focuses on effective cooperation between path selection and message scheduling considering links on path, location of message sender, and number of processor in sensor towards energy efficiency. Specifically, a path selection strategy is developed based on shortest path and less number of links on path (SPLL). The location of message sender, and number of processor in specific sensor are utilized for developing a longer hops (LH) message scheduling approach. A system model is presented based on M/M/1 queuing analysis to showcase the effective cooperation of SPLL and LH towards energy efficiency. Simulation oriented comparative performance evaluation attest the energy efficiency of the proposed framework as compared to the state-of-the-art techniques considering number of energy oriented metrics.

V. CONCLUSION

In this paper, an energy oriented path selection and message scheduling framework for sensor enabled wireless network environments has been presented. It was shown, form the design, development and analysis of the proposed framework, that the cooperation between path selection and message scheduling approach significantly improves energy efficiency in sensor enabled wireless network environments. The consideration of lesser number of links on path, closer message sender, longer hops, and processor availability reduces overall transmission energy requirement in message forwarding resulting in longer network lifetime. It is also observed that the proposed framework has lower energy consumption rate as compared to the state-of-the-art techniques. The communication round oriented network lifetime is longer considering energy exhausting in either first node, last node or half of the nodes in the network. In future, authors will focus on implementing heuristic based techniques for energy efficiency in sensor enabled wireless network environments.