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This paper focuses on the security issue in Cyber-Physical Systems. The sensor transmits the state estimation information to the remote controller via wireless networks. Due to the broadcast characteristics of wireless communication, the systems are vulnerable to the eavesdropping attacks and jamming attacks. In this paper, we study how to maximize the secure transmission rate between sensors and...
Motivated by applications in competitive WiFi sensing, and competition to grab user attention in social networks, the problem of when to arrive at/sample a shared resource/server platform with multiple players is considered. Server activity is intermittent, with the server switching between ON and OFF periods alternatively. Each player spends a certain cost to sample the server state, and the per-player...
Due to the inherent property of the processing resource request from mobile active or passive devices as part of internet of things (IoT), processing capacity as well as latency become major optimization criteria. To achieve overall optimized uses of cloud resources - having dynamic tracking, monitoring as well as orchestration framework is one of the key challenges to overcome. In the same context,...
We present a selfish routing model to optimize the allocation of tasks in a mobile crowdsensing (MCS) system. The players of our game are sensing service requesters that wish to route their demand along paths that are made up of resources belonging to the crowd participants. Resource usage involves load-dependent costs and one resource may serve several requests at the same time. Due to human involvement...
Compared with conventional cognitive radio networks (CRNs), the efficiency can be improved if secondary users (SUs) have full duplex (FD) communication capabilities. We discuss FD spectrum sensing in non-time-slotted CRNs and study two work modes of SUs, transmitting-sensing (TS) mode and transmitting-receiving (TR) mode. SUs work alternately in two modes. In such a context, we analyze the sensing...
Future power networks are supposed to contain various power sources in mesh-like structures, including distributed generations such as solar panels, wind power generations, and electric vehicles (EVs) that work not only as transportation but as huge batteries. These power sources have their own characteristics such as cost, stability, amounts of CO2 emission, etc. Hence it is desired to use them efficiently...
The Cognitive Radio (CR) is an emerging technology for modern wireless communication system that offers a great solution to scarcity of radio spectrum. The Cognitive Radio Network (CRN) is an intelligent wireless communication organization that is aware of its environment. Here, heterogeneous nodes meet spectrum sensing challenges due to the variation of transmission power, spectrum allocation and...
In this paper, a hybrid approach has been proposed for maximizing ergodic capacity of the cognitive radio networks. This hybrid scheme is based upon the sensing information (sensing Metric) obtained by the secondary receiver about the absence or the presence of the primary user. By adopting hybrid scheme, one can increase the ergodic capacity of the network subject to peak transmit power constraint...
The performance of wireless body area networks (WBANs) may be degraded due to co-channel interference, i.e., when sensors of different coexisting WBANs transmit at the same time-slots using the same channel. In this paper, we exploit the 16 channels available in the 2.4 GHz unlicensed international band of ZIGBEE, and propose a distributed scheme that opts to avoid interference through channel to...
In this document, a protocol LEACH-1R meant for energy efficient & mobility aware congestion control is provided for MWSN. A LEACH-1R that transforms the LEACH by making use of first clustering round & performing the inter-cluster choosing of new CHs (cluster head) rather than aggregated reclustering. A MWSN is termed as a set of wireless mobile nodes & base station that generates an ad-hoc...
Crowdsensing has emerged as a compelling paradigm for collecting sensing data over a vast area. This paper studies the critical task allocation problem in crowdsensing, i.e., maximizing the net reward of the platform under the time budget constraints of smartphone users and different quality requirements of tasks. This problem is particularly challenging because of its NP-hardness. Traditional optimization...
We consider the scheduling of retransmissions in the low-latency deterministic network (LLDN) extension to the IEEE 802.15.4 standard. We propose a number of retransmission schemes with varying degree of required changes to the LLDN specification. In particular, we propose a retransmission scheme which uses cooperative relayers and where the best relayer for a source node is learned using reinforcement-learning...
In this paper, competitive interactions between a secondary transmitter-receiver pair and a jammer are investigated in a distributed manner over N orthogonal frequency bands, each of which is licensed to a primary user (PU). There is an interference restriction at the secondary receiver (SR) and power budget constraints at the secondary transmitter (ST) and the jammer. In addition, the ST (jammer)...
Mobile sensing, which uses mobile sensors to monitor spatially correlated physical fields, is a promising technique to enhance the flexibility and coverage of wireless sensing systems. However, the position errors of mobile sensors can deteriorate the estimation accuracy of the physical fields. Thus, to optimize the estimation performance, it calls for a trade-off between the resource allocated to...
With the proliferation of mobile devices, spatial crowdsourcing is rising as a new paradigm that enables individuals to participate in tasks related to some locations in the physical world. Nevertheless, how to allocate these tasks to proper mobile users and improve communication efficiency are critical in spatial crowdsourcing. In this paper, we propose Fo-DSC, a fog-based deduplicated spatial crowdsourcing...
As an efficient way to collect sensing data, participatory sensing has been receiving more and more attentions and its applications cover various areas such as traffic control and management, environmental monitoring, etc. In a participatory sensing system, Service Provider (SP) works as the task promulgator, Smartphone User (SU) works as the task executor and the Platform handles the sensing task...
As a critical technique to support the multimedia services - the major traffic in cooperative cognitive radio networks (CRNs), the statistical quality-of-service (QoS) technique has been proved to be effective in statistically guaranteeing delay-bounded video transmissions over the time- varying wireless channels. On the other hand, in modern cooperative CRNs, the full-duplex spectrum sensing (FD-SS)...
In spite of the pronounced benefit brought by crowdsensing, a user would not participate in sensing without adequate incentive, indicating that effective incentive design plays a critical role in making crowdsensing a reality. In this work, we examine the impact of two conflicting factors on incentives for users' participation: 1) the concern about privacy leakage and 2) the (positive) network effect...
Abstract-A max-min fairness resource allocation is studied for wideband cognitive radio under sensing-based spectrum sharing with simultaneous wireless information and power transfer. Specifically, the throughput of the worse-case secondary user is maximized by jointly optimizing the sensing time, transmit power and subchannel allocation, subject to constraints on energy harvesting, interference power...
Basically, a WBAN consists of few wearable sensors attached to body parts, clothes, implanted underneath the skins or inner body. A WBAN consists of a central hub (i.e., base station) that controls and communicates with sensors. WBANs may deeply overlap on each other in a crowded area such as hospital because of their rapid mobility, small network size, flexible topology, and higher network density...
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