5,819 research outputs found
Enabling Trustworthy Service Evaluation in Service-Oriented Mobile Social Network
We propose a Trustworthy Service Evaluation (TSE) system to enable users to share service reviews inservice-oriented mobile social networks (S-MSNs). Each service provider independently maintains a TSE for itself, which collects andstores users’ reviews about its services without requiring any third trusted authority. The service reviews can then be made available tointerested users in making wise service selection decisions. It identify three unique service review attacks, i.e., linkability, rejection, and modification attacks, and develop sophisticated security mechanisms for the TSE to deal with these attacks. Specifically, the basicTSE (bTSE) enables users to distributedly and cooperatively submit their reviews in an integrated chain form by using hierarchical and aggregate signature techniques. It restricts the service providers to reject, modify, or delete the reviews. Thus, the integrity and authenticity of reviews are improved. Further, It extend the bTSE to a Sybil-resisted TSE (SrTSE) to enable the detection of two typical sybil attacks. In the SrTSE, if a user generates multiple reviews toward a vendor in a predefined time slot with differentpseudonyms, the real identity of that user will be revealed. Through security analysis and numerical results, It show that the bTSE and the SrTSE effectively resist the service review attacks and the SrTSE additionally detects the Sybil attacks in an efficient manner.Through performance evaluation, It show that the bTSE achieves better performance in terms of submission rate and delay than a service review system that does not adopt user cooperation
Robotic Wireless Sensor Networks
In this chapter, we present a literature survey of an emerging, cutting-edge,
and multi-disciplinary field of research at the intersection of Robotics and
Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor
Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system
that aims to achieve certain sensing goals while meeting and maintaining
certain communication performance requirements, through cooperative control,
learning and adaptation. While both of the component areas, i.e., Robotics and
WSN, are very well-known and well-explored, there exist a whole set of new
opportunities and research directions at the intersection of these two fields
which are relatively or even completely unexplored. One such example would be
the use of a set of robotic routers to set up a temporary communication path
between a sender and a receiver that uses the controlled mobility to the
advantage of packet routing. We find that there exist only a limited number of
articles to be directly categorized as RWSN related works whereas there exist a
range of articles in the robotics and the WSN literature that are also relevant
to this new field of research. To connect the dots, we first identify the core
problems and research trends related to RWSN such as connectivity,
localization, routing, and robust flow of information. Next, we classify the
existing research on RWSN as well as the relevant state-of-the-arts from
robotics and WSN community according to the problems and trends identified in
the first step. Lastly, we analyze what is missing in the existing literature,
and identify topics that require more research attention in the future
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Edge intelligence is an emerging paradigm for real-time training and
inference at the wireless edge, thus enabling mission-critical applications.
Accordingly, base stations (BSs) and edge servers (ESs) need to be densely
deployed, leading to huge deployment and operation costs, in particular the
energy costs. In this article, we propose a new framework called
Mobility-Enhanced Edge inTelligence (MEET), which exploits the sensing,
communication, computing, and self-powering capabilities of intelligent
connected vehicles for the smart and green 6G networks. Specifically, the
operators can incorporate infrastructural vehicles as movable BSs or ESs, and
schedule them in a more flexible way to align with the communication and
computation traffic fluctuations. Meanwhile, the remaining compute resources of
opportunistic vehicles are exploited for edge training and inference, where
mobility can further enhance edge intelligence by bringing more compute
resources, communication opportunities, and diverse data. In this way, the
deployment and operation costs are spread over the vastly available vehicles,
so that the edge intelligence is realized cost-effectively and sustainably.
Furthermore, these vehicles can be either powered by renewable energy to reduce
carbon emissions, or charged more flexibly during off-peak hours to cut
electricity bills.Comment: This paper has been accepted by IEEE Communications Magazin
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