Maximizing area throughput in clustered wireless sensor networks

Verdone, Roberto; Fabbri, Flavio; Buratti, Chiara

doi:10.1109/jsac.2010.100924

Cited by 22 publications

(13 citation statements)

References 35 publications

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“…In the same direction, the authors in [5] conclude that, compared to other PP models, the class of poisson cluster processes (PCPs) better captures the key spatial depedencies in sensor networks, military platoons, and urban networks with dense hotspots. Besides, the ThCP belongs to the class of PCPs that have been extensively used to model the spatial distribution of sensors [8], femtocells [9], hotspots [5], and generic WNEs [6], [7], around their upper-tier WNEs. Notably, the ThCP model is also a good fit for the spatial distribution of remote radio units (RRU) around centralized processing units (CPUs), a.k.a.…”

Section: Discussion On the System Modelmentioning

confidence: 99%

“…In parallel, a considerable amount of works identify that the locations of short-range WNEs are not completely random, e.g. sensors [8], femtocells [9], hotspots [5], or more generic WNEs [6], [7], while they typically form clusters around other WNEs of higher radii. Different from the aforementioned works, in this paper we propose an M -tier HWN model that accounts for both the multi-tiered structure of the present HWN and the clustering of short-range WNEs around WNEs of higher radii.…”

Section: A Related Workmentioning

confidence: 99%

“…y , and the parameters Z x and Z y are given by (8) and (9), respectively. The ccdfF Z|k,f ull (z) is given by (13), where Γ[k, x] is the upper partial Gamma Function.…”

Section: Theorem 3 the Conditional Pdf F Z|kf Ull (Z) Of The Distanmentioning

confidence: 99%

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Distance Distributions and Proximity Estimation Given Knowledge of the Heterogeneous Network Layout

Xenakis

Merakos

Kountouris

et al. 2015

IEEE Trans. Wireless Commun.

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Today's heterogeneous wireless network (HWN) is a collection of ubiquitous wireless networking elements (WNEs) that support diverse functional capabilities and networking purposes. In such a heterogeneous networking environment, proximity estimation will play a key role for the seamless support of emerging applications that span from the direct exchange of localized traffic between homogeneous WNEs (peer-to-peer communications) to positioning for autonomous systems using location information from the ubiquitous HWN infrastructure. Since most of the existing wireless networking technologies enable the direct (or indirect) estimation of the distances and angles between their WNEs, the integration of such spatial information is a natural solution for robustly handling the unprecedented demand for proximity estimation between the myriads of WNEs. In this paper, we develop an analytical framework that integrates existing knowledge of the HWN layout to enable proximity estimation between WNE supporting different radio access technologies (RATs). In this direction, we derive closed-form expressions for the distance distribution between two tagged WNEs given partial (or full) knowledge of the HWN topology. The derived expressions enable us to analyze how different levels of location-awareness affect the performance of proximity estimation between WNEs that are not necessarily capable of communicating directly. Optimal strategies for the deployment of WNEs, as means of maximizing the probability of successful proximity estimation between two WNEs of interest, are presented, and useful guidelines for the design of locationaware proximity estimation in the nowadays HWN are drawn.

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Section: Discussion On the System Modelmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

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Distance Distributions and Proximity Estimation Given Knowledge of the Heterogeneous Network Layout

Xenakis

Merakos

Kountouris

et al. 2015

IEEE Trans. Wireless Commun.

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“…Throughput is measured to find the rate of successful delivered messages within a network which is represented as data packets delivered per second as shown in [36] Throughput = ∑ Delivered Packets ∑ Total Simulation Time * (Packet Size) .…”

Section: Rtvc Performance Evaluationmentioning

confidence: 99%

A Novel Real Time Framework for Cluster Based Multicast Communication in Vehicular Ad Hoc Networks

Farooq

Khan

Rehman

2016

International Journal of Distributed Sensor Networks

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In a vehicular ad hoc network (VANET), the vehicles communicate with each other to develop an intelligent transport system (ITS) which provides safety and convenience while driving. The major challenge of VANET is that the topology changes dynamically due to the high speed and unpredictable mobility of vehicles resulting in an inefficient real time message dissemination, especially in emergency scenarios such as in the accident event where it can cause high level of destruction. To the best of our knowledge, there is no such mechanism in existing literature which can handle real time multicast communication in VANET for both urban and highway scenarios. In this paper, we propose a novel real time vehicular communication (RTVC) framework which consists of a VANET cluster scheme (VCS) and VANET multicast routing (VMR) to achieve efficient vehicle communication within both urban and highway scenarios. The RTVC framework develops stable communication links and achieves high throughput with low overhead despite high mobility by combining the multicast routing with a unique cluster based scheme. In VCS, the cluster head (CH) is elected upon cluster threshold value (CTV) to disseminate the messages within the cluster members (CMs) and to other cluster heads by intercluster communication, which reduces the network overhead. In addition, the vehicles cluster head election (VCHE) procedure is proposed to reduce the number of CHs and CMs switches which results in lower overhead of maintaining the clusters. Moreover, another novelty of the framework is that the CTV of VCHE can be adjusted by speed adjustment factor (SAF) to achieve the desired cluster stability depending upon the required VANET application. The simulation results illustrate that the proposed framework has achieved the goal of stable, efficient, and real time communication despite highly dynamic environment of VANET.

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“…Throughput shows the number of data packets delivered per second successfully as shown below in (2) [37].…”

Section: A Throughputmentioning

confidence: 99%

A cluster based multicast routing protocol for Autonomous Unmanned Military Vehicles (AUMVs) communication in VANET

Farooq

Khan

Rehman

2016

2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube)

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Autonomous UnmannedMilitary Vehicles (AUMVs) became part of numerous military combat operations to meet the challenges of modern warfare techniques and strategies. Hence, there is a need to develop an ad hoc network among AUMVs to perform the military tasks collectively within a war field where infrastructure installation is not possible. Therefore, in this paper a novel AUMVs protocol is proposed to develop a Vehicular Ad Hoc Network (VANET) among unmanned Military Vehicles (MVs). The proposed protocol performs cluster based multicast communication among AUMVs by considering real time and dynamic war field scenario. The AUMVs protocol develops stable clusters and becomes adaptable according to the military environment by using a proposed Priority Based Cluster Head Election Scheme (PCHE) during cluster formation which reduces the network overhead and delay. Additionally, the AUMVs protocol achieves high throughput by combining the multicast approach with a cluster based scheme. The simulation results illustrate that the proposed protocol has achieved the goal of stable and efficient communication among unmanned MVs.

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Maximizing area throughput in clustered wireless sensor networks

Cited by 22 publications

References 35 publications

Distance Distributions and Proximity Estimation Given Knowledge of the Heterogeneous Network Layout

Distance Distributions and Proximity Estimation Given Knowledge of the Heterogeneous Network Layout

A Novel Real Time Framework for Cluster Based Multicast Communication in Vehicular Ad Hoc Networks

A cluster based multicast routing protocol for Autonomous Unmanned Military Vehicles (AUMVs) communication in VANET

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