Performance Evaluation of Efficient Routing Protocols in Delay Tolerant Network under Different Human Mobility Models

Mehta, Namita; Shah, Mehul

doi:10.14257/ijgdc.2015.8.1.16

Cited by 5 publications

(3 citation statements)

References 14 publications

(9 reference statements)

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“…As stated before, mobility is another key factor affecting message diffusion effectiveness. There are several proposals, such as the ones presented in [ 37 , 38 , 39 , 40 , 41 ], which evaluate the message dissemination behaviour of the Epidemic protocol by focusing on the mobility patterns of the nodes. In these works, the authors explain the relationship between factors such as speed, mobility model, node density, and places.…”

Section: Related Workmentioning

confidence: 99%

Friendly-Sharing: Improving the Performance of City Sensoring through Contact-Based Messaging Applications

Herrera-Tapia

Hernández-Orallo

Tomás

et al. 2016

Sensors

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Regular citizens equipped with smart devices are being increasingly used as “sensors” by Smart Cities applications. Using contacts among users, data in the form of messages is obtained and shared. Contact-based messaging applications are based on establishing a short-range communication directly between mobile devices, and on storing the messages in these devices for subsequent delivery to cloud-based services. An effective way to increase the number of messages that can be shared is to increase the contact duration. We thus introduce the Friendly-Sharing diffusion approach, where, during a contact, the users are aware of the time needed to interchange the messages stored in their buffers, and they can thus decide to wait more time in order to increase the message sharing probability. The performance of this approach is anyway closely related to the size of the buffer in the device. We therefore compare various policies either for the message selection at forwarding times and for message dropping when the buffer is full. We evaluate our proposal with a modified version of the Opportunistic Networking Environment (ONE) simulator and using real human mobility traces.

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Section: Related Workmentioning

confidence: 99%

Friendly-Sharing: Improving the Performance of City Sensoring through Contact-Based Messaging Applications

Herrera-Tapia

Hernández-Orallo

Tomás

et al. 2016

Sensors

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“…In [10,11] the authors examine an utility-based cooperative data dissemination system where the utility of data is defined based on the social relationships between users. There are other proposals, such as [12][13][14][15][16], which evaluate the message dissemination behaviour of the Epidemic protocol by focusing on the mobility patterns of the nodes. In these works, the authors explain the relationship between factors such as speed, mobility model, density of nodes, and places.…”

Section: Related Workmentioning

confidence: 99%

Improving Message Delivery Performance in Opportunistic Networks Using a Forced-Stop Diffusion Scheme

Herrera-Tapia

Hernández-Orallo

Tomás

et al. 2016

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. The performance of mobile opportunistic networks strongly depends on contact duration. If the contact lasts less than the required transmission times, some messages will not get delivered, and the whole diffusion scheme will be seriously affected. In this paper we propose a new diffusion method, called Forced-Stop, that is based on controlling node mobility to guarantee a complete message transfer. Using the ONE simulator and realistic mobility traces, we compared our proposal with the classical Epidemic diffusion. We show that Forced-Stop improves the message delivery performance, increasing the delivery ratio up to 30%, and reducing the latency of message delivery up to 40%, with a limited impact on buffer utilisation and message relaying. These results can be a relevant indication to the designers of opportunistic network applications that could integrate in their products strategies to inform the user about the need to temporarily stop in order to favor the overall data delivery.

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“…There are other proposals such as [110,103,148,43], which evaluate the message dissemination behavior of the Epidemic protocol by focusing on the mobility patterns of the nodes. In these works, the authors explain the relationship between factors such as speed, mobility model, density of nodes, and places.…”

Section: Overviewmentioning

confidence: 99%

Improving Message Dissemination in Opportunistic Networks

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Performance Evaluation of Efficient Routing Protocols in Delay Tolerant Network under Different Human Mobility Models

Abstract: Abstract

Cited by 5 publications

References 14 publications

Friendly-Sharing: Improving the Performance of City Sensoring through Contact-Based Messaging Applications

Friendly-Sharing: Improving the Performance of City Sensoring through Contact-Based Messaging Applications

Improving Message Delivery Performance in Opportunistic Networks Using a Forced-Stop Diffusion Scheme

Improving Message Dissemination in Opportunistic Networks

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