WiFi-Opp

Trifunovic, Sacha; Distl, Bernhard; Schatzmann, Dominik; Legendre, Franck

doi:10.1145/2030652.2030664

Cited by 90 publications

(1 citation statement)

References 7 publications

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“…However, some works have continued to study the application of this technology to opportunistic networks [21]. For instance, WiFiOpp [22] is an opportunistic communication system that uses WiFi infra-structured mode to create a peer-to-peer network among smartphones because many terminals do not naively support the IEEE802.11 IBSS (WiFi adhoc mode). The paper also evaluate the energy consumption of the system with respect to the WiFi adhoc mode reference case considering various system configurations and using a model base on the real traces.…”

Section: Wifi For Opportunistic Networkmentioning

confidence: 99%

Human time-scale duty cycle for opportunistic WiFi based mobile networks

Bracciale

Loreti

Bianchi

2013

2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)

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Despite the great interest received by the smartphones in opportunistic networks context, the requested energy toll still remains one of the prominent inhibiting factors to the real deployment of such technology.In this paper we evaluate a on-off approach devised to provide intermittent (but synchronized) WiFi communication across opportunistically connected devices while saving energy. Differently form classical duty cycle approaches that are implemented at the protocol/network level, we devise a "human time-scale" duty cycle that can be implemented as an overlay system service at the application level. The relatively large time-scale allows to simply keep a loose synchronization between terminals, without requiring any changes in the default operating system or system internals of commercial mobile phones. With reference to Android devices, we analyze the effects of varying such duty cycle in terms of the feasibility of the synchronization requirements as well as the energy gain obtained in order to find the trade-off for the different state settings. For these values, we evaluate the loss of discovered contacts using the data coming from real human mobility traces.

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Section: Wifi For Opportunistic Networkmentioning

confidence: 99%

Human time-scale duty cycle for opportunistic WiFi based mobile networks

Bracciale

Loreti

Bianchi

2013

2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)

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Green Wireless-Energy Efficiency in Wireless Networks

Bernardo

Braun

Curado

et al. 2015

Large-Scale Distributed Systems and Energy Efficiency

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Interface Mode Assignment Method for Self‐Reconstruction of Wireless Mesh Networks Based on IEEE 802.11 Infrastructure‐Mode

Dorj

Kinoshita

2020

IEEJ Transactions Elec Engng

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The key features of computer networks available for a disaster situation are reliable, fault tolerance, and self-configurable. Therefore, using a wireless mesh network for disaster prevention and recovery system has gained much attention from the research community in the last decades. In addition, from the practical aspects of the network infrastructures of the disaster system, we should assume the core capabilities such as wireless connectivity in a wide range, ease of use, and low cost so on. In this paper, we propose an interface mode assignment method for reconstructing a route from an isolated router to a gateway (GW) router in a wireless mesh network based on IEEE 802.11 infrastructure mode after a disaster occurrence. The proposed method assigns an adequate mode to each interface in an isolated router to recover the network reachability in a distributed manner. Simulation results show the effectiveness of the proposed method via two different scenarios.

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WiFi-Opp

Cited by 90 publications

References 7 publications

Human time-scale duty cycle for opportunistic WiFi based mobile networks

Human time-scale duty cycle for opportunistic WiFi based mobile networks

Green Wireless-Energy Efficiency in Wireless Networks

Interface Mode Assignment Method for Self‐Reconstruction of Wireless Mesh Networks Based on IEEE 802.11 Infrastructure‐Mode

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