Traffic Modeling and Analysis in the Performance of Parking Sensor Networks

Trista Lin 1, 2, * Hervé Rivano 1 Frédéric Le Mouël 3, 2
* Corresponding author
1 URBANET - Réseaux capillaires urbains
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
2 DYNAMID - Dynamic Software and Distributed Systems
CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : Network traffic model is a critical problem for urban application, mainly because of its diversity and node density. As wireless sensor network is highly concerned with the development of smart cities, careful consideration to traffic model helps choose appropriate protocols and adapt network parameters to reach best performances on energy-latency tradeoffs. In this paper, we compare the performance of two off-the-shelf medium access control protocols on two different kinds of traffic models, and then evaluate their application-end information delay and energy consumption while varying traffic parameters and node density. From the simulation results, we highlight some limits induced by node density, occurrence frequency and non-uniform characters of event-driven applications. When it comes to real-time urban services, a protocol selection shall really be taken into account - even dynamically - with a special attention to energy-delay tradeoff. To this end, we provide several insights on parking sensor networks.
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https://hal.inria.fr/hal-00948120
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Submitted on : Tuesday, February 18, 2014 - 10:38:55 AM
Last modification on : Saturday, October 27, 2018 - 1:20:23 AM
Long-term archiving on : Sunday, May 18, 2014 - 11:25:23 AM

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Trista Lin, Hervé Rivano, Frédéric Le Mouël. Traffic Modeling and Analysis in the Performance of Parking Sensor Networks. [Research Report] RR-8480, INRIA. 2014. ⟨hal-00948120⟩

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