The deep-inelastic electromagnetic structure functions of steel, deuterium, and hydrogen nuclei have been measured with use the high-energy electron beam at Stanford Linear Accelerator Center. ratio steel deuterium cannot be understood simply by corrections due to Fermi-motion effects. data indicate that quark momentum distributions in nucleon become distorted nucleus. present results are consistent recent measurements muon beams.

Wireless Body Area Networks (WBANs) represent one of the most promising approaches for improving quality life, allowing remote patient monitoring and other healthcare applications. In such networks, traffic routing plays an important role together with positioning relay nodes, which collect information from biosensors send it towards sinks. This work investigates optimal design wireless body area networks by studying joint data problem in a WBAN, order to increase network lifetime. To this...

Thanks to their arising abilities influence the human lifestyle, along with reducing healthcare systems’ cost, wireless body area networks (WBANs) still form a strongly growing research field. Recent advances focus on opportunities of coexistence and communication between group WBANs, that will forward sensing data, using persons as network relays, until reaching remote analysis server or cloud servers via Internet, forming thus body-to-body (BBN). Such new-style support range innovative...

This paper addresses the joint pricing and network selection problem in cognitive radio networks (CRNs). The is formulated as a Stackelberg game, where primary secondary operators (POs SOs) first set subscription price to maximize their revenue. Then, users perform process, deciding whether pay more for guaranteed service or use cheaper best-effort network, congestion low throughput may be experienced. We derive optimal stable settings. More specifically, we Nash equilibrium concept...

Mobile traffic generated by a variety of services is rapidly increasing in volume. Both network and computation resources single edge are therefore often too limited to provide the desired Quality Service (QoS) mobile users. In this paper, we propose mathematical model, called JSNC, perform an efficient joint slicing resources. JSNC aims at minimizing total latency transmitting, outsourcing processing user traffic, under constraint tolerable for multiple classes traffic. The constraints...

In recent years, wearable devices and wireless body area networks have gained momentum as a means to monitor people's behavior simplify their interaction with the surrounding environment, thus representing key element of body-to-body networking (BBN) paradigm. Within this paradigm, several transmission technologies, such 802.11 802.15.4, that share same unlicensed band (namely, industrial, scientific, medical band) coexist, dramatically increasing level interference and, in turn, negatively...

Network Functions Virtualization (NFV) has recently gained momentum among network operators as a means to share their physical infrastructure virtual operators, which can independently compose and configure communication services. However, the spatio-temporal correlation of traffic demands computational loads result in high congestion low performance for thus leading service level agreement breaches. In this paper, we analyze resulting from sharing propose innovative orchestration mechanisms...

Smart mobile people have a great potential to extend the existing Internet of Things infrastructures by implementing genuine ubiquitous healthcare (U-health) applications, ensuring anywhere and anytime patients connectivity. Through forwarding sensing data from person until reaching connected medical server, concrete U-health becomes true with emerging future Body-to-Body Networks. Indeed, coexistence multiple WBANs (Wireless Body Area Networks), communication interactions between them...

In many scenarios network design is not enforced by a central authority, but arises from the interactions of several self-interested agents. This case Internet, where connectivity due to Autonomous Systems' choices, also overlay networks, each user client can decide set connections establish. Recent works have used game theory, and in particular concept Nash Equilibrium, characterize stable networks created selfish The majority these assume that users are completely non-cooperative, leading,...

End users equipped with storage may exploit time variations in electricity prices to earn profit by doing energy arbitrage, i.e., buying when it is cheap and selling expensive. We propose an algorithm find optimal solution of the arbitrage problem under given varying prices. Our based on discretization Lagrange multipliers a convex has structure which control decisions are independent past or future beyond certain horizon. The proposed run complexity O(N <sup...

Mobile Edge Computing (MEC) is vital to support the numerous, future applications that are envisioned in 5G and beyond mobile networks. Since computation capabilities available at edge of network, need ultra low-latency, high bandwidth reliability can be deployed more easily. This opens up possibility developing smart resource allocation approaches exploit MEC infrastructure an optimized way and, same time, fulfill requirements applications. However, date, progress research this area limited...

In this paper, we propose a reliable topology design and provisioning approach for Wireless Body Area Networks (named RTDP-WBAN) that takes into account the mobility of patient while guaranteeing data delivery required to support healthcare applications' needs. To do so, first 3D coordinate system able calculate coordinates relay-sensor nodes in different body postures movements. This uses 3D-model standard human specific set node positions with stable communication links, forming virtual...

We formulate the optimal energy arbitrage problem for a piecewise linear cost function storage devices using programming (LP). The LP formulation is based on equivalent minimization of epigraph. This considers ramping and capacity constraints, charging discharging efficiency losses storage, inelastic consumer load local renewable generation in presence net-metering which facilitates selling to grid incentivizes consumers install storage. consider case where loads, electricity prices,...

In this paper we focus on the problem of predicting Quality Service (QoS), and in particular end-to-end delay, by using traffic matrix samples. To aim, study different models based machine learning as a promising tool to characterize performance complex computer networks. More specifically, first provide simulation platform, NS 3 network simulator, which each Origin-Destination (OD) flow is mixture UDP TCP generate useful data for our study. We present three datasets over gradually vary...