Explosive data traffic growth leads to a continuous surge in capacity demands across mobile networks. In order to provision high network capacity, small cell base stations (SCBSs) are widely deployed. Owing to the close proximity to mobile users, SCBSs can effectively enhance the network capacity and offloading traffic load from macro BSs (MBSs). However, the cost-effective backhaul may not be ...

Article history: Available online xxxx Having a direct effect on network lifetime, balanced energy consumption is one of the key challenges in wireless networks. In this paper, we investigate the effects of node mobility on energy balancing in wireless networks. We construct a Linear Programming (LP) framework that jointly captures data routing, mobility, and energy dissipation aspects. We expl...

Decrease in the time interval between the first node death and the last node death, due to the completion of their energy supply, is the main goal of load-balancing methods in Wireless Sensor Networks (WSN). This paper proposes a Load-Balancing Enhancement (LBE) method, in WSN. LBE method uses a mobile data collector to data gathering from sensor nodes. The mobile data collector can directly co...

Modern society is facing great challenges due to pollution and increased carbon dioxide (CO2) emissions. As part of solving these challenges, the use of renewable energy sources and electric vehicles (EVs) is rapidly increasing. However, increased dynamics have triggered problems in balancing energy supply and consumption demand in the power systems. The resulting uncertainty and unpredictabili...

—The energy consumption is considered as key factors of green cloud computing to achieve resource allocation. To address the issue of high energy consumption and low efficiency of cloud computing, this paper proposes a powerefficient immune clonal optimization algorithm (PEICO) based on dynamic load balancing strategy and immune clonal selection theory in green cloud computing. The experimenta...

Energy consumption is the most challenging issue in routing protocol design for mobile ad-hoc networks (MANETs), since mobile nodes are battery powered. Furthermore, replacing or recharging batteries is often impossible in critical environments such as in military or rescue missions. In a MANET, the energy depletion of a node does not affect the node itself only, but the overall network lifetim...

Energy efficiency and balancing is one of the primary challenges for wireless sensor networks (WSNs) since the tiny sensor nodes cannot be easily recharged once they are deployed. Up to now, many energy efficient routing algorithms or protocols have been proposed with techniques like clustering, data aggregation and location tracking etc. However, many of them aim to minimize parameters like to...

We consider a distribution grid interconnecting a number of consumers with flexible power consumption. Each consumer is under the jurisdiction of exactly one balancing responsible party (BRP), who buys energy at a day-ahead electricity market on behalf of the consumer. We illustrate how BRPs can utilize the flexibility of the consumers to minimize the imbalance between the consumed and the purc...

This paper will explore the key factors affecting the resource allocation performance; reveal the essential relationship among CPU dynamic power consumption, resources computing capacity, resources supply voltage strategy, the amount of resources, supply voltage, and the frequency of CPU; and solve the huge energy consumption problem and the poor performance of load balancing in the process of ...

The wireless sensor network (WSN), once deployed, is usually expected to operate for months even years. In the WSN, each individual sensor node is typically equipped with small batteries which offer only a limited amount of energy. Hence, numerous energy-efficiency schemes have been developed for the WSN, aiming to help the WSN to achieve long lifetime under the stringent constraint of energy s...