Archive
Dramatic mobile data traffic growth has spurred a dense deployment of small cell base stations (SCBSs). Small cells enhance the spectrum efficiency and thus enlarge the capacity of mobilenetworks. Although SCBSs consume much less power than macro BSs (MBSs) do, the overall power consumption of a large number of SCBSs is phenomenal. As the energy […]
As power consumption of the Internet has been growing quickly in recent years, saving energy has become an important problem of networking research, for which the most promising solution is to find the minimum-power network subsets and shut down other unnecessary network devices and links to satisfy changing traffic loads. However, in traditional networks, it is difficult to implement a coordinated strategy […]
Network planning is facing new and critical challenges due to ad hoc deployment, unbalanced and drastically varying traffic demands, as well as limited backhaul and hardware resources in emerging small cell architectures. We discuss the application of graph theory to address the challenges. A clique-based software-defined online network management approach is proposed that captures traffic imbalance and fluctuation of small […]
Software defined networks (SDN) provide flexibility for developing new network protocols and policies in real networks. The SDN controller translates network policies into specific rules in the flow tables (which are usually implemented using ternary content addressable memory (TCAM)) of each networkswitch. However, due to the limitation of TCAM (e.g., high power consumption and high heat generation), flow tables cannot scale beyond a few […]
Cooperative Data Scheduling in Hybrid Vehicular Ad Hoc Networks: VANET as a Software Defined Network
This paper presents the first study on scheduling for cooperative data dissemination in a hybrid infrastructure-to-vehicle (I2V) and vehicle-to-vehicle (V2V) communication environment. We formulate the novel problem of cooperative data scheduling (CDS). Each vehicle informs the road-side unit (RSU) the list of its current neighboring vehicles and the identifiers of the retrieved and newly requested […]
This paper proposes a social network Sina Weibo integrated sensor platform for precision agriculture to effectively provide various agricultural agricultural services. As a case study, a greenhouse environment monitoring system employing our proposal method has been developed. Experiment results show that this system can reduce the burden of the implementation and management of wireless sensor network(WSN), and […]
We consider a multihypothesis social learning problem in which an agent has access to a set of private observations and chooses an opinion from a set of experts to incorporate into its final decision. To model individual biases, we allow the agent and experts to have general loss functions and possibly different decision spaces. We characterize the […]
In this study, we investigate the task offloading issue in mobile social networks. Although the ‘d-choice’ paradigm in ‘ball and bin’ theory [1] had shown the power of random choice in load balancing with random walk model, its performance could be fairly poor when real trace data sets are concerned. According to our preliminary evaluation results with […]
Smart cities are becoming more and more popular primarily due to increasing TIC innovations and administrative efforts from city councils to better connect citizens through stateof- the-art technology. Currently a smart city is no longer focused just on offering administrative services, but on providing useful and pervasive information to citizens and serving as basic data […]
Research on a Crowdsourcing Assignment Model based on Mobile Crowd Sensing in the Internet of Things
With the powerful sensing capability of mobile smart devices, users can easily obtained the crowd sensing services with smart devices in the Internet of Things. However, credible interaction issues between mobile users are still the hard problems in the past. In this paper, we focus on how to assign the crowdsourcing sensing tasks based on […]
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