Simulating node selfishness in opportunistic networks

Annalisa Socievole, F. Rango, Antonio C. Caputo, S. Marano
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引用次数: 7

Abstract

In situations where Internet connectivity is not available, opportunistic networks exploit the encounters between mobile human-carried devices for exchanging information. When people encounter each other, their handheld devices can communicate wirelessly and in a cooperative way using the encounter opportunities for forwarding their messages. However, in the real world, most of the nodes exhibit selfish behaviors mostly to conserve the limited buffer and power resources. As such, for ensuring a fair delivery, node selfishness should be taken into account. In this paper, we study the impact of node selfishness on the system throughput and delay of opportunistic communications. Through extensive simulations, we evaluate the system performances by utilizing experimental human mobility traces with different communication patterns. Our results show that the message delivery ratio decreases and the end-to-end average latency increases as the percentage of selfish nodes increases for all the routing protocols considered. However, the social-based forwarding rules are able to better manage node selfishness.
在机会主义网络中模拟节点自利
在没有互联网连接的情况下,机会主义网络利用人类携带的移动设备之间的相遇来交换信息。当人们彼此相遇时,他们的手持设备可以利用相遇的机会以一种协作的方式进行无线通信,以转发他们的消息。然而,在现实世界中,大多数节点表现出自私的行为,主要是为了保护有限的缓冲区和电力资源。因此,为了确保公平交付,应该考虑节点自利性。本文研究了节点自利对机会通信系统吞吐量和时延的影响。通过大量的仿真,我们利用不同通信模式的实验人类移动轨迹来评估系统的性能。我们的结果表明,对于所有考虑的路由协议,随着自私节点百分比的增加,消息传递率降低,端到端平均延迟增加。而基于社交的转发规则能够更好地管理节点的自私自利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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