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Energy conservation has been known as the most important issue for many applications in wireless sensor networks (WSNs). For data gathering in a clustered sensor network, most existing work focuses on fusing data at cluster heads (CHs). However, in target tracking applications, these approaches do not consider that one target is usually detected by sensor nodes in multiple clusters, which leads to...
In this paper, we propose a dynamic duty scheduling scheme for minimizing the energy consumption of the on-field sensor networks in a sensor-cloud application framework. The conjugation of cloud framework with Wireless Sensor Networks (WSNs) adds enhanced processing and storage capacity to the on-field WSN applications. However, the WSN applications performing periodic information update to the cloud...
For the static linear wireless sensor networks deployed outside, it can be ensured that the initial energy of the node deployed is the same, but the distance between nodes cannot be guaranteed. In order to prolong the networks lifetime, this paper presents the optimization strategy of linear random wireless sensor networks based on mobile Sink. Firstly, the node energy consumption model of linear...
Mathematical modeling for energy consumption of MANETs considering the impact of different layers in the protocol stack in addition to that of different network parameters remains unexplored till now even though such modeling is considered as the fastest and the most cost-effective tool for evaluating the performance of a network. Therefore, in this paper, we attempt to develop a mathematical model...
In the past decade, various hierarchical clustering methods have been proposed in order to efficiently minimize the energy consumption of sensor nodes. The energy consumption of such clustering methods heavily depends on the size of clusters and the number of member nodes. Existing methods form clusters by considering the distance between the sink node and each node. However, if clusters are formed...
A victim cache is a small cache block usually located between two main cache levels, which main objective is to recover conflict cache misses. In the usual case, the victim cache is designed as an always enabled cache block with fixed size. However, different applications may have very different memory access requirements. In this article, we present an analysis of the relations between a victim cache,...
The rapid growth in cloud service demand has led to the establishment of large-scale virtualized data centers. However data centers consume a large amount of energy resulting in high operating costs and contributing to significant greenhouse gas (GHG) emissions. In cloud computing systems, users' demands are met through deployment of Virtual Machines (VMs) on Physical Machines (PMs). We propose to...
Cloud computing allows users to access resources on demand. The size of data centers increase with the increasing demand for resources by users. Increase in the size of data centers is directly proportional to energy consumption. The total energy requirement has to be minimized by distributing virtual machine requests over data centers optimally, with the consideration of prices of distribution of...
Building stock consumes 40% of primary energy consumption in the United States. Among various types of energy loads in buildings, HVAC (heating, ventilation, and air conditioning) and EV (electric vehicle) charging are two of the most important ones and have distinct characteristics. HVAC system accounts for 50% of the building energy consumption and typically operates throughout the day, while EV...
Wireless Sensor Networks (WSNs) typically aggregate sensed events into a sink by Continuous Monitoring (CM) or Event-Detection (ED). Cluster heads receiving and sending aggregated data have a difficulty in maintaining traditional cluster-based WSNs due to the energy hole problem, which leads to faster energy depletion around the sink. This paper shows how reporting frequency to the sink can be controlled...
This paper presents a concept for energy optimization dealing with high consistency (HC) refining processes in the pulp and paper industry. Models for the outlet consistency and Gurley number used in the optimization are briefly described. The specific energy is used as manipulated variable. Additionally, the inlet consistency can be adjusted to a fixed value. While keeping the energy consumption...
In this paper, we investigate the energy efficiency maximization problem of analog network coding (ANC) based two-way relay (TWR) assisted cellular network under quality of service (QoS) constraints through transmit power optimization. Circuit power cannot be ignored since it influences energy efficiency greatly. However, the difficulty is that maximizing energy efficiency is shown to be non-convex...
In this work, an active regenerative braking converter using a bidirectional Buck-Boost converter is implemented in order to improve the overall efficiency of modern building lifts. The converter is connected in parallel to the inverter DC-bus. Energy is stored in a set of supercapacitors during regeneration and it is transferred back to the DC-bus when the elevator accelerates. In order to test the...
Energy-efficient task scheduling is a fundamental issue in many application domains, such as energy conservation for mobile devices and the operation of green computing data centers. Modern processors support dynamic voltage and frequency scaling (DVFS) on a per-core basis, i.e., the CPU can adjust the voltage or frequency of each core. As a result, the core in a processor may have different computing...
As the limitations of energy consumption for real-time embedded systems more strict, it has been difficult to ignore the context switch overhead for Fixed-Priority task with Preemption scheduling (FPP) in multitasking environment. This paper presents a Reducing Context Switches scheduling (RCSS) based on preemption thresholds scheduling for real-time embedded system to decrease system energy consumption...
As the scale of high-performance computing (HPC) clusters continues to grow, their increasing failure rates and energy consumption levels are emerging as two serious design concerns that are expected to become more challenging in future Exascale systems. Therefore, efficiently running systems at such large scales requires an in-depth understanding of the performance and energy costs associated with...
The sensor nodes deployed in wireless sensor networks (WSNs) are strictly energy constrained. Thus energy conservation for maximizing lifetime of the network is central to the design of WSNs. In many applications, the nodes nearer to the sink are overburdened by means of huge traffic load as the data from the entire region are forwarded through them to reach to the sink. As a result, their energy...
This paper proposes a transmission power management algorithm based on link quality parameter to obtain savings in node energy consumption. The radio operation is the most power consuming task in a wireless node network; therefore the proposed algorithm tries to determine the optimum transmission power level to use only the required energy. A new decision index is defined based on link quality information...
A Wireless Sensor Network (WSN) consists of thousands number of sensor nodes which have constraints on computation, energy and memory resources. Limited energy resource affects the lifetime of the WSNs. Hence many protocols have been proposed to reduce energy consumption. LEACH is one of the most popular clustering protocols with the aim of maintaining the energy efficiency of sensor nodes. Almost...
In cloud computing systems, users' demands are met through deployment of Virtual Machines (VMs) on Physical Machines (PMs). The rapid growth in cloud service demand has led to the establishment of large-scale virtualized data centers. However data centers consume a large amount of energy resulting in high operating costs and contributing to significant greenhouse gas (GHG) emissions. We propose to...
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