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Under the real-time electricity pricing environment in smart grid, building owners are faced with the indoor temperature control problem to minimize the daily electricity cost. Taking the heating scenario as an example, an intuitive strategy is to maintain the building's indoor temperature always at the lower bound of the predetermined comfort range. However, this strategy may not always achieve the...
In network virtualization, one of the key problems is to embed a sequence of virtual networks with both node and link constraints onto the physical network, which is known to be NP-hard. When a virtual network arrives, the recent studies focus on designing a solution to minimize the energy cost while maximizing the revenue of the physical network at that time. However, after some time, due to the...
In this paper, we study joint energy cooperation and traffic management in renewable energy powered cellular system where a centralized unit manages the traffic and the energy cooperation among BSs. We first formulate a stochastic optimization problem which aims at minimizing the total on-grid energy consumption while satisfying the quality-of-service (QoS) requirement of classes of services, i.e...
Delay-tolerant sensor networks (DTSNs) require efficient MAC transmission strategies that include energy constraint, relaxed latency, mobility support and diverse traffic load. Reservation-based and contention-based MAC schemes are used to improve throughput and energy consumption. In this paper, we propose a traffic adaptive, energy-efficient MAC protocol to achieve better data transmissions and...
Recently, mobile cloud offloading is a promising technique to deal with the increasingly complex applications on mobile devices, meeting the ever- increasing energy requirements. However, cloud offloading with multiple mobile devices may cause considerable mutual interference, which may result in intolerable time delay and more energy consumption. In this paper, a novel offloading decision method...
Computation offloading manages resource-intensive and interactive applications on mobile devices where much processing is replicated with multiple users in the same environment. In this paper, we consider the scenario where duplicated computation tasks are processed on specific mobile users and computation results are shared through Device-to-Device (D2D) multicast channel. Our goal is to find an...
Cooperation among network devices is a promising solution to improve network throughput and network service quality. In addition, it can be used to enhance network survivability against failures. In this paper, we study the user cooperation solution of multipath streaming application on wireless user equipments (UEs) using auction theory. We assume that UEs use multipath transport layer service, and...
Wireless sensor networks are valuable assets to both the commercial and military communities with applications ranging from industrial control on a factory floor to reconnaissance of a hostile border. In most applications, the sensors act as data sources and forward information generated by event triggers to a central sink or base station (BS). The unique role of the BS makes it a natural target for...
This paper considers the optimal energy-efficient transmission policy in time-sharing multiuser systems with a hybrid energy harvesting transmitter. The system operation energy is supplied by a constant energy source which is driven by a non-renewable resource and an energy harvester which harvests energy from its surrounding environment. Our goal is to maximize the energy-efficient transmission of...
Wearable devices with various sensors are useful instruments to monitor human health. Due to the limited size, these wearable devices, however, always encounter critical energy problem, which further hinders their widely application. Considering that wireless communication dominates the total energy consumption, we make an in-depth study on the problem of communication energy consumption in body sensor...
Virtual machine (VM) consolidation and switch/path consolidation are two typical techniques for improving energy efficiency in data centers (DCs). Most of existing work separately optimize VM consolidation and switch consolidation which results in inferiority of the optimization performance. Moreover, these work usually handle a user application as a VM flow (i.e., a source VM is connected to a destination...
In mobile edge computing systems, mobile devices can offload compute-intensive tasks to a nearby \emph{cloudlet}, so as to save energy and extend battery life. Unlike a fully-fledged cloud, a cloudlet is a small-scale datacenter deployed at a wireless access point, and thus is highly constrained by both radio and compute resources. We show in this paper that separately optimizing the allocation of...
One of the major challenges in a wireless sensor network (WSN) is to extend the network's lifetime by minimizing the energy consumption. One of the ways to do so is to reduce network congestion as it increases delays and introduces additional packet collisions- thus, adversely affecting network performance. In this paper, we analyze this issue in routing and take an evolutionary game theoretic approach...
Maximizing the lifetime is an important issue in the design of applications and protocols for wireless sensor networks (WSNs). Clustering sensor nodes is an effective topology control approach helping achieve this goal. In this paper, we present an energy efficiency protocol to prolong the network lifetime based on an improved particle swarm optimization (PSO) algorithm. The protocol takes both energy...
Achieving energy efficiency has recently become an essential aim of networking research due to the ever increasing power consumption and CO2 emissions generated by large data networks. For this problem, the emerging paradigm of Software-Defined Networks (SDN) can be seen as an attractive solution. In these networks an energy-aware routing model could be easily implemented leveraging the control and...
Radio frequency (RF) recharging can extend maintenance-free operation of wireless sensor networks. However, the period between recharging is limited by the distance between the most distant sensor node and the master which sends out recharging pulses. To increase this period, we propose a scheme in which nodes are logically grouped into circular zones centered at the master, so that nodes in a given...
To meet the increasing mobile data services de- mand, several solutions have been proposed such as wireless resource virtualization and device-to-device (D2D) communica- tion. Virtualization allows for more efficient utilization of the spectrum, reduces expenditures, and can support higher peak rates. D2D communication can achieve higher data rates due to the proximity of devices while controlling...
Smart grids offer better energy management at consumer premises as well as energy companies side using bi- directional communication and control. Energy companies can balance energy supply and demand to a large extent, with the advent of smart homes. They can also nudge consumers to shift their demands to off-peak hours for load balancing and monetary benefits. We propose a decentralized demand scheduling...
Demand response is widely employed by today's data centers to response to the increasing of electricity cost. To incentivize users of data centers participate in the demand response programs, i.e., breaking the split incentive hurdle, some prior researches proposed market-based mechanisms such as dynamic pricing and static monetary rewards. However, these mechanisms are either intrusive or unfair...
Cloud Computing (CC) has emerged as a leading technology for providing on-demand services such as, network access, data storage, computation to end users for smooth execution of various applications. Such services are provided over physical servers hosted by large data centers (DCs) which may be geographically located. In recent times, with an increase in service requests for various resources, DCs...
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