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Powering wireless cellular system by green renewable energy cuts greenhouse gas emissions and electricity bill. However, green energy sources have the limitation of unsustainable availability and capacity. Therefore, the criteria of optimizing network planning for such system should involve both static and dynamic aspects. In this paper, the network planning scheme aims to jointly maximize cell coverage...
There is a growing interest around the world in supplying the communication networks with green energy from natural resources, e.g., solar, wind, and hydro, to reduce carbon footprints. However, the green energy sources and the energy buffer have the limitation of unstable availability and capacity. It is challenging to ensure that the fluctuant energy supply meets the demands of dynamic traffic loads...
Besides energy-efficient technologies, increasing attention is paid on powering cellular networks with renewable energy sources, concerning climate change, fossil fuel prices and energy security. In this paper, we not only aim to reduce the absolute energy consumption of cellular networks, but also provide a guideline to utilize the renewable energy efficiently in cellular networks. The renewable...
Green radios have drawn much attention in recent years. This paper derives the energy per good-bit expressions for MQAM and MPSK in DF relay networks under AWGN and Rayleigh fading channels. The energy per good-bit is defined as the energy per correctly received bit, which indicates that the energy consumed per bit as well as the link reliability and retransmission probabilities are considered. An...
Support vector machines (SVM) is a widely used method which can treat problems involving small sample, devilish learning, and high dimension. The current paper conduct a multivariate SVM in a total-factor production framework, and the GDP per capita, capital stock and labor are taken as the independent variables and the energy consumption is the dependent variable. The Gaussian radial basis function...
In wireless sensor network studies the main objective is minimizing the energy consumption so that the lifetime is maximized under the limited battery capacity constraints. In most event-driven surveillance applications, the end-to-end delay should also be minimized. In this paper we present a new BT-MAC (balanced energy-latency tradeoff Media Access Control) which reaches a good balance between energy...
In this paper, the authors try to deal with the problem that on arrival of the user's call request, how to ensure the user is accessed by the most appropriate network. And different solution might be given depending on the definition of "most appropriate", which they consider herein as the user's QoS requirement and the power efficiency of the transmission.
Due to uncertainties in target motion and limited sensing regions of sensors, collaborative target tracking in wireless sensor networks (WSNs) suffers from low tracking accuracy and lack of reliability when a target cannot be detected by a scheduled sensor. Generally, actuating multiple sensors can achieve better tracking performance but with high energy consumption. Tracking accuracy, reliability,...
In this paper, we propose a relay selection scheme based on cooperative MIMO (multi-input-multi-output) communication for network lifetime maximization in energy-constrained sensor networks. Compared with existing work, our distributions are: cooperative nodes choice is not based on minimizing energy consumption per communication but balancing remaining energy between participants including source...
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