Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History
1
Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, 43007 Tarragona, Spain
2
Department of Computer Architecture, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
3
Department of Computer Science, Universidad de Chile, Santiago 8370456, Chile
4
Department of Electrical and Computers, Universidad Nacional del Sur, CONICET, Bahía Blanca 8000, Argentina
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(1), 24; https://doi.org/10.3390/s20010024
Received: 24 September 2019 / Revised: 12 December 2019 / Accepted: 16 December 2019 / Published: 19 December 2019
(This article belongs to the Special Issue Collaborative Sensor Networks and Advanced Data Analytics for Urban Emergencies and Disaster Relief Efforts)
The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.
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Keywords:
network topology prediction messages; history-based prediction; mobile ad hoc networks; urban emergencies
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MDPI and ACS Style
Millán, P.; Aliagas, C.; Molina, C.; Meseguer, R.; Ochoa, S.F.; Santos, R.M. Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History. Sensors 2020, 20, 24.
AMA Style
Millán P, Aliagas C, Molina C, Meseguer R, Ochoa SF, Santos RM. Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History. Sensors. 2020; 20(1):24.
Chicago/Turabian StyleMillán, Pere; Aliagas, Carles; Molina, Carlos; Meseguer, Roc; Ochoa, Sergio F.; Santos, Rodrigo M. 2020. "Predicting Topology Propagation Messages in Mobile Ad Hoc Networks: The Value of History" Sensors 20, no. 1: 24.
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