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Delay and security are both highly concerned in the Internet of Things (IoT). In this paper, we set up a secure analytical framework for IoT networks to characterize the network delay performance and secrecy performance. Firstly, stochastic geometry and queueing theory are adopted to model the location of IoT devices and the temporal arrival of packets. Based on this model, a low-complexity secure...
In the Wireless sensor network small size based and low power sensor nodes spreads over a complete geographical area which is connected to each other for performing or control the applications. Every application requires a control center which collects the aggregates data from all sensor nodes. Data aggregation is used for compress data and also for power saving which gives time efficient method for...
In Battery-Free Wireless Sensor Network (BF-WSN), nodes are powered by the energy harvested from ambience instead of batteries. The nodes may frequently suffer from insufficient energy so that they need to alternate normal operation (such as transmitting/receiving, etc.) with harvesting energy. This brings in extra packet delay for the nodes to deliver data to the sink(s). Therefore, delivering data...
Several interconnected layers of network form the smart grid. The Home Area Network (HAN) is the lowest layer of this grid, where reports about the various parameters associated with electrical devices are generated. For example, parameters could include information about the operation, power consumption, energy losses, power factor, etc. associated with the electrical devices. The reports generated...
Topology control is one of the key technologies in ad hoc network. Recently some topology control algorithms focus on reducing the end-to-end delay have been proposed. However, they do not consider the delay which is caused by contending for the shared channel and collision at MAC layer. In this paper, we put forward a new delay model to character the link delay which is composed by the transmission...
In this paper, we consider a downlink coordinated multi-cells multi-users network, in which each User Equipment (UE) knows its Channel State Information (CSI) perfectly and feeds back its quantized composite channel to the distributed Base stations (BSs) through a limited feedback. We propose a cooperative beamforming design, considering quantized composite channels, that reduces the inter-cell interference...
Sensor networks have attracted much attention in the recent years for its wide applications in biology, medicine, security and battlefield, etc. Data gathering is one of the most important operations in wireless sensor networks. In this paper, we present an energy-delay efficient data gathering protocol, SODG, for sensor networks while taking the transmission interference into considerations. The...
With the features provided by wireless mesh networks (WMN) and the increasing number of users, the Quality of Service (QoS) has become essential to support multimedia applications. In addition, employing the multichannel approach has led to the improvement of the network performance. However, selecting a path with the maximum available bandwidth to transmit data from the source to the destination...
Underwater acoustic communications can be used for several applications. When the underwater link is related to a reservoir, applications can go from water monitoring, both in terms of pollution and physical characteristics, as for example, temperature. Another class of applications can be the remote control of small vehicles/vessels. Due to the limited depth, this kind of underwater acoustic connection...
End-to-end delay is an important QoS parameter in wireless sensor networks. The term end-to-end delay is the total amount of time taken for transmission of data to reach the destination. The parameter which causes end-to-end time delay in the wireless sensor network includes length of the path i.e. the number of repeaters and the congestion along the route. In this paper, main focus is end-to-end...
We provide an improved bound for the expectation of the stationary delay under the maximum weight scheduling (MWS) policy in one-hop wireless networks. In the model, the interference of the links is characterized by an interference graph G=(V, E). For a vector μ ∊ R|V|+, let χf (G, μ) be the weighted fractional coloring number for the graph G under the weight vector μ. For an arrival rate vector λ...
In this paper, a novel interference aware, energy efficient resource allocation scheme based on signal to interference plus noise ratio (SINR) rank restrictions is proposed for beyond next generation mobile networks. The relationship between the choice of base stations (when their ranking and selection is based on SINR) and inter-cell interference is examined. It is observed that lower SINR choices...
We provide bounds for the expectations of the stationary delay and the sum of the stationary queue sizes under the approximate maximum weight scheduling (MWS) policy and under the longest-queue-first (LQF) policy in one-hop wireless networks. For MWS, our results improves the previously provided bounds; for LQF, the results are new. In the derivation of the new bounds, a connection with certain graph...
In this paper, two novel energy efficient resource allocation schemes are proposed for beyond next generation mobile networks. The schemes take into account the clustering capability of base stations before assigning users to the base stations. A topology management scheme that adjusts the number of active base stations in accordance with the traffic load and also responds to QoS deterioration is...
Network coding (NC) has been shown to improve the throughput of multi-hop wireless networks (MWN). Prior work on performance modeling of NC mainly addresses the maximization of throughput. However, these works fail to capture the complete picture since there may be paths in the network for which end-to-end packet delay is prohibitively high. In this paper, we address the problem of delay minimization...
The support of delay-sensitive applications like VoIP, video conferencing, video streaming, etc. on scheduled mesh networks requires careful configuration of routing and scheduling. We formulate a delay-optimal joint routing and scheduling optimization problem that minimizes the maximum average delay perceived by any flow under the physical interference model. Due to the non-convex nature of this...
Cognitive Network is one of the most prevailing development directions in the future network, prominent in enhancing the utilization of the network resource. Although the research on routing mechanism in Cognitive Network arises more attention in the recent years, the current mechanism provides limited methods for ameliorating the instability performance caused by the mobility of the Cognitive Radio...
A myriad of applications are based on the positioning and timing information provided by GNSS systems. Protecting the system against any kind of interference has been always on the focus of researchers and manufacturers. Unintentional and intentional interferences are two well known ways to mislead the results of GNSS receivers. However, it has been recently, with the mass-market production of Software...
Beaconless geo-routing protocols have been traditionally analyzed assuming equal communication ranges for the data and control packets. This is not true in reality, since the communication range is in practice function of the packet length. As a consequence, a substantial discrepancy may exist between analytical and empirical results offered in beaconless geo-routing literature. Furthermore, performance...
Cognitive Radio Ad-Hoc Network (CRAHN) is an emerging class of mobile ad hoc networks that provides each network node with a list of available channels. It is expected that the traditional routing approach will not work well in CRAHN, by which its performance may be determined by user and channel interferences, as well as by frequent topology changes. The result is varying connectivity conditions...
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