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Cloud robotics is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with cloud computing infrastructures. It further complements Internet of Things (IoT) to improve the performance of smart city applications. By offloading heavy data- intensive computation to the ubiquitous cloud, quality of service (QoS) guarantee can be ensured. Unlike their mobile counterpart,...
Wireless sensor networks (WSNs) consist of nodes with limited power resources. A potential method to prolong the lifespan of a node is the use of an antenna which can harvest energy from radio frequency (RF) signals. In this paper, we model a network consisting of nodes with energy harvesting capabilities and a number of dedicated energy transmitters (ETs) which send data to the nodes. We identify...
Wireless sensor networks are valuable assets to both the commercial and military communities with applications ranging from industrial control on a factory floor to reconnaissance of a hostile border. In most applications, the sensors act as data sources and forward information generated by event triggers to a central sink or base station (BS). The unique role of the BS makes it a natural target for...
Sweep coverage is an important problem in wireless sensor networks. With sweep coverage, more Points Of Interests (POIs) can be monitored with fewer mobile sensor nodes thanks to the mobility of the nodes. Most existing studies on sweep coverage focus on the trajectory of the mobile sensor nodes to guarantee the sweep coverage of the POIs. Considering the fact that, in many applications, the collected...
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...
Recently, Unmanned Aerial Vehicle (UAV) networks attracts a lot of interest as one of promising research areas since it can be used for a large portfolio of relevant applications. Among several issues in UAV networks, a collision avoidance among multiple UAVs should be addressed due to its significance. Furthermore, a barrier-coverage is considered as an important coverage concept because it is also...
In wireless sensor networks, the need for ultra- low power consuming nodes is one of the main motivations for research in such field. Because radio sections in sensor nodes contribute to a large extent to the overall power consumption, the focus of this study is on the RF transceiver. The aim is to reduce the average power consumption which depends significantly on the circuit architecture design,...
In Underwater Sensor Networks (UWSNs) with high volume of data recording activity, a mobile sink such as a Autonomous Underwater Vehicle (AUV) can be used to offload data from the sensor nodes. When the AUV approaches the underwater node, it can use high data rate optical communication. However, the data is not considered delivered when it was transferred from the sensor node to the AUV, but when...
One of the major challenges in a wireless sensor network (WSN) is to extend the network's lifetime by minimizing the energy consumption. One of the ways to do so is to reduce network congestion as it increases delays and introduces additional packet collisions- thus, adversely affecting network performance. In this paper, we analyze this issue in routing and take an evolutionary game theoretic approach...
Maximizing the lifetime is an important issue in the design of applications and protocols for wireless sensor networks (WSNs). Clustering sensor nodes is an effective topology control approach helping achieve this goal. In this paper, we present an energy efficiency protocol to prolong the network lifetime based on an improved particle swarm optimization (PSO) algorithm. The protocol takes both energy...
Radio frequency (RF) recharging can extend maintenance-free operation of wireless sensor networks. However, the period between recharging is limited by the distance between the most distant sensor node and the master which sends out recharging pulses. To increase this period, we propose a scheme in which nodes are logically grouped into circular zones centered at the master, so that nodes in a given...
We investigate the possibility of wirelessly charging autonomous wearable sensors for patient health-monitoring through dedicated power transfer from Power Beacons (PB). We propose a novel strategy for transmitting energy beams towards patients, where sensors emit a charging request based on a battery lower threshold and receive energy till the battery reaches an upper threshold. These energy beams...
In this work, we consider a wireless powered communication network (WPCN) with an energy harvesting (EH) jammer where an eavesdropper tries to wiretap the communication between a user and a hybrid access-point (H-AP). In our system, the H-AP first transmits an energy signal to recharge the batteries of the EH user and the EH jammer in the energy transfer (ET) phase. Then, in the subsequent information...
The formula E = Pt still hold true as we forge ahead in our unending quest to extend power lifetime in e-Health wireless sensors. Our research work proposes predictive MAC manipulation and intelligent node clustering with associated algorithms to further lower the energy consumption of e-Health devices equipped with wireless sensors. Predictive manipulation of MAC involves powering on and off the...
Interference cancellation (IC) has been proposed to improve bandwidth utilization for the majority of modern wireless networks. We claim that the conventional model for IC residual error, which is that the residual error power is simply a fraction of the power of the packet being cancelled, is overly simplified. In this paper, we evaluate the practical residual error of IC with spread MSK modulation...
Cognitive radio (CR) has been advocated to improve the network spectrum efficiency for decades, and the cooperation between the primary and secondary systems has become a new paradigm to further improve the spectrum utilization. However, in practice, secondary transmitters (STs) are usually power constrained, which limits the application of cooperative cognitive radio networks (CCRN). In this paper,...
This paper investigates a wireless energy harvesting cooperative network (WEHCN) consisting of a source, a decode-and-forward (DF) relay and a destination. We consider the relay as an energy harvesting (EH) node equipped with EH circuit and a rechargeable battery. Moreover, the direct link between source and destination is assumed to exist. The relay can thus harvest and accumulate energy from radio-frequency...
In this paper, we investigate the problem of robust congestion control in infrastructure-based cognitive radio networks (CRN). We develop an active queue management (AQM) algorithm, termed MAQ, based on multiple model predictive control (MMPC). The goal is to stabilize the TCP queue at the base station (BS) under disturbances from the varying service capacity for secondary users (SU). The proposed...
With the increasing use of Wireless Sensor Networks, the privacy of the user is of main concern. The sensors maintain a layer 2 address that lasts for the node lifetime. As a consequence, an eavesdropper can easy trace the user and his activities, even in case the nodes send ciphered traffic.We propose a 6LoWPAN-ND extension to improve privacy and overcome the traceability of the user. With our method...
The emerging Internet of Things paradigm has triggered an explosion in ad-hoc applications that require connectivity among the nodes of wireless networks. However, the channel randomness and the random deployment of such networks could cause missed detections by isolated (i.e., unable to disseminate their messages) or inactive (i.e., without enough energy to transmit) nodes. Moreover, as the number...
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