Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary distribution of cloud capabilities to the edge wireless access network, enabling rich services and applications in close proximity end users. In this paper, MEC enabled multi-cell network considered where each base station (BS) equipped with server assists mobile users executing computation-intensive tasks via task offloading. The problem joint offloading resource allocation studied order maximize users' gains,...

MEC is an emerging paradigm that provides computing, storage, and networking resources within the edge of mobile RAN. servers are deployed on a generic computing platform RAN, allow for delay-sensitive context-aware applications to be executed in close proximity end users. This alleviates backhaul core network crucial enabling low-latency, high-bandwidth, agile services. article envisions real-time, collaboration framework lies at comprising devices, amalgamates heterogeneous edge....

Ocean bottom sensor nodes can be used for oceanographic data collection, pollution monitoring, offshore exploration and tactical surveillance applications. Moreover, Unmanned or Autonomous Underwater Vehicles (UUVs, AUVs), equipped with sensors, will find application in of natural undersea resources gathering scientific collaborative monitoring missions. acoustic networking is the enabling technology these Networks consist a variable number sensors vehicles that are deployed to perform tasks...

Underwater wireless communications can enable many scientific, environmental, commercial, safety, and military applications. Wireless signal transmission is also crucial to remotely control instruments in ocean observatories coordination of swarms autonomous underwater vehicles robots, which will play the role mobile nodes future observation networks by virtue their flexibility reconfigurability. To make applications viable, efficient communication protocols among devices, are based on...

UnderWater Acoustic Sensor Networks (UW-ASNs) consist of sensors and Autonomous Underwater Vehicles (AUVs) performing collaborative monitoring tasks. In this article, UWMAC, a distributed Medium Access Control (MAC) protocol designed for UW-ASNs, is introduced. The proposed MAC transmitter-based Code Division Multiple (CDMA) scheme that incorporates novel closed-loop algorithm to jointly set the optimal transmit power code length. CDMA most promising physical layer multiple access technique...

Mobile-Edge Computing (MEC) is a promising paradigm that provides storage and computation resources at the network edge in order to support low-latency computation-intensive mobile applications. In this article, we propose joint collaborative caching processing framework supports Adaptive Bitrate (ABR)-video streaming MEC networks. We formulate an Integer Linear Program (ILP) determines placement of video variants caches scheduling requests cache servers so as minimize expected delay cost...

In this paper, architectures for two-dimensional and three-dimensional underwater sensor networks are discussed. A detailed overview on the current solutions medium access control, network, transport layer protocols given open research issues

In this paper, different deployment strategies for two-dimensional and three-dimensional communication architectures UnderWater Acoustic Sensor Networks (UW-ASNs) are proposed, statistical analysis both is provided. The objectives of paper to determine the minimum number sensors needed be deployed achieve optimal sensing coverage, which dictated by application; provide guidelines on how choose surface area, given a target region; study robustness sensor network node failures, an estimate...

Underwater sensor networks consist of sensors and vehicles deployed to perform collaborative monitoring tasks over a given region. will find applications in oceano-graphic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, tactical surveillance, mine reconnaissance. acoustic networking is the enabling technology for these applications. In this paper, an architecture three-dimensional underwater considered, model characterizing channel...

In this paper, coordination and communication problems in wireless sensor actor networks (WSANs) are jointly addressed a unifying framework. A sensor-actor model is proposed based on an event-driven partitioning paradigm. Sensors partitioned into different sets, each set constituted by data-delivery tree associated with actor. The optimal solution for the strategy determined mathematical programming, distributed proposed. addition, new actor-actor problem introduced. formulated as task...

Wireless Sensor and Actor Networks (WSANs) are composed of a large number heterogeneous nodes called sensors actors. The collaborative operation enables the distributed sensing physical phenomenon, while role actors is to collect process sensor data perform appropriate actions.In this paper, coordination framework for WSANs addressed. A new sensor-actor model proposed, based on an event-driven clustering paradigm in which cluster formation triggered by event so that clusters created...

Since sensor networks can be composed of a very large number nodes, the developed protocols for these must scalable. Moreover, designed to prolong battery lifetime nodes. Typical existing routing techniques ad hoc are known not scale well. On other hand, so-called geographical algorithms scalable but their energy efficiency has never been extensively and comparatively studied. For this reason, novel analytical framework is introduced. In algorithm, packets forwarded by node its neighbor...

Recently, Mobile-Edge Computing (MEC) has arisen as an emerging paradigm that extends cloud-computing capabilities to the edge of Radio Access Network (RAN) by deploying MEC servers right at Base Stations (BSs). In this paper, we envision a collaborative joint caching and processing strategy for on-demand video streaming in networks. Our design aims enhancing widely used Adaptive BitRate (ABR) technology, where multiple bitrate versions can be delivered so adapt heterogeneity user varying...

A brain-computer interface (BCI) for seizure prediction provides a means of controlling epilepsy in medically refractory patients whose site epileptogenicity cannot be resected but yet can defined sufficiently to selectively influenced by strategically implanted electrodes. Challenges remain offering real-time solutions with such technology because the immediacy electrographic ictal behavior. The nonstationary nature electroencephalographic (EEG) and electrocorticographic (ECoG) signals...

Underwater networks of sensors have the potential to enable unexplored applications and enhance our ability observe predict ocean. In this paper, architectures for two-dimensional three-dimensional underwater sensor are proposed. A detailed overview on current solutions medium access control, network, transport layer protocols is given open research issues discussed.

A new paradigm for ubiquitous healthcare characterized by pervasive continuous vital sign data collection, real-time processing of monitored to derive meaningful physiological parameters, and context-aware data- patient-centric decision making, is central deliver personalized solutions the elderly physically challenged. However, this requires wirelessly collected signs using inherently complex models analysis processed information under context (e.g., location, ambient conditions, current...

Current radio access network architectures, characterized by a static configuration and deployment of base stations, have exposed their limitations in handling the temporal geographical fluctuations capacity demand. Moreover, small cell networks exacerbated problem electromagnetic interference decreased energy efficiency. Although there are some solutions to alleviate these problems, they still suffer from provisioning BSs lack inter-BS communication. Cloud RAN is new centralized paradigm...

Over the last few years, C-RAN is proposed as a transformative architecture for 5G cellular networks that brings flexibility and agility of cloud computing to wireless communications. At same time, content caching in has become an essential solution lower content- access latency backhaul traffic loading, leading user QoE improvement network cost reduction. In this article, novel cooperative hierarchical (CHC) framework introduced where contents are jointly cached at BBU RRHs. Unlike...

Developing a Brain-Computer Interface (BCI) for seizure prediction can help epileptic patients have better quality of life. However, there are many difficulties and challenges in developing such system as real-life support patients. Because the nonstationary nature EEG signals, normal patterns vary across different Thus, finding group manually extracted features task is not practical. Moreover, when using implanted electrodes brain recording massive amounts data produced. This big calls need...

In Wireless Sensor and Actor Networks (WSANs), the collaborative operation of sensors enables distributed sensing a physical phenomenon, while actors collect process sensor data perform appropriate actions. WSANs can be thought as control system that needs to timely react information with an effective action. this paper, coordination communication problems in mobile are studied. First, new location management scheme is proposed handle mobility minimal energy expenditure for sensors, based on...