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Base station sleep mode is an effective method to reduce the energy consumption of cellular networks. Taking into account a cellular network, its central base station (BS) can turn into sleep mode when the traffic is low and the users in this cell can access to neighbor active cells. A user offloading algorithm for the sleeping cell is investigated. The energy consumption of the cellular network in...
Cloud Map-Reduce (CMR) is an advantage Map-Reduce platform and has been aroused more and more attention. To further balance the performance of job secluding among job cost, execution time and energy consumption, a locality-aware and energy-aware job pre-assignment algorithm is proposed for Map-Reduce of CMR in this paper. Firstly, the importance of rack in data locality and energy saving is analyzed...
Home energy management system is an extension of the smart grid in residential sector. It is a hot topic in smart grid. This paper proposed a home energy management strategy. It uses data mining techniques to obtain useful information when analyzing the load characteristics. The home energy management system is composed of home gateways, interactive terminals, smart socket and smart appliances with...
Sleep Scheduling is one of the most important challenges for energy conservation in Wireless Sensor Networks (WSNs). Connected Dominating Set (CDS) based virtual backbone is often employed in WSNs. Compared with the ordinary CDS, the R-hop Connected Dominating Set (R-CDS) with smaller size is more suitable for build a virtual backbone for energy conservation. In this paper, a R-hop connected dominating...
The Wireless Sensor Converge-cast Networks (WSCNs) are widely applied in many fields such as medical applications and environmental monitoring. The monitoring data are collected from the sensors and gathering toward the sink node. A coding aware routing scheme based on Connected Dominating Set is provided. Based on CDS, a coding condition, named Improved Coding Conditions (ICC), is defined with an...
By scheduling multiple applications with complementary resource requirements on a smaller number of compute nodes, we aim to improve performance, resource utilization, energy consumption, and energy efficiency simultaneously. In addition to our naive consolidation approach, which already achieves the aforementioned goals, we propose a new energy efficiency-aware (EEA) scheduling policy and compare...
In this paper, we propose a novel multi-tier clustering strategy using cultural-based multiobjective particle swarm optimization (Cultural-MOPSO) for maximizing the longevity of wireless sensor networks. We take into account the distribution of surviving nodes and define three objective functions based on multi-tier cluster hierarchy to fully evaluate every clusterhead election. Simulation results...
The continuous increase in energy consumption by cellular networks requires rethinking their energy efficiency. Current research indicates that one third of operating energy could be saved by reducing the transmission power of base stations. However, this approach requires the introduction of a range of additional equipment containing more embodied energy - consumed by all processes associated with...
Continuously growing energy consumption in cellular networks motivates the research towards energy saving approaches. Among previous work, many studies suggest different base station shutdown strategies to reduce the transmission power in case of low or no traffic. Besides the strategy that shutdown base stations completely, our work suggests and evaluates the usage of partial shutdown strategy for...
Firstly, this paper analyzes the status of energy consumption in Henan Province, and then the improved GM (1, 1) model is used to predict the energy consumption and energy structure in the following several years; it shows that the energy structure is unreasonable in the coming years; coal is consumed too much and the ratio of natural gas, renewable energy and new energy should be increased. Finally,...
Energy-efficient is a key problem of Under-water acoustic sensor network (UASN). Base on analysis of energy consumption for LEACH in underwater channel, we propose a novel scheme for cluster-head selection to ensure nodes energy load balance by considering residual energy of candidate nodes and the distance to SINK, which can lower the probability of selecting nodes with low energy and poor location...
In this paper, a forecasting method, combining grey model (GM) with partial least squares regression (PLS), was applied to forecasting city terminal energy consumption for the first time. PLS is of the advantage of overcoming the correlative affect among independent variables, distinguishing the system signal from noises, and explaining dependent variables well; GM (1, 1) model is able to overcome...
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