A probabilistic refined policy for topology-independent medium access control in ad hoc network environments

Vasileios Dragonas, Georgios Tsoumanis, Konstantinos Oikonomou
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Abstract

Modern network environments are starting to engulf billions of different interconnected devices that support a wide range of applications. Depending on the case, these environments range from static (e.g., wireless sensors) to highly dynamic (e.g., vehicular networks) with respect to topology changes and have different constraints for throughput, time delay, energy consumption etc. Supporting such applications in a topology-varying ad hoc environment is a challenging task. Thus, TDMA-based MAC policies are revisited here and a new policy, i.e., the refined policy is proposed, which builds and improves on the topology-independent policies that appear in the literature. In particular, an individual access probability is introduced that is distributively calculated by each node to access time slots that may result to collisions, but if not then unused network resources will be utilized, thus, increasing throughput. The key idea under the refined policy is to identify and refrain from transmitting during slots that collisions are likely to appear. An analytical expression for the individual access probability is also derived here. It is also shown through simulation experiments that energy consumption is also reduced in addition to throughput incremented under the proposed policy.
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自组织网络环境中拓扑无关介质访问控制的概率改进策略
现代网络环境正开始吞噬数十亿支持广泛应用的不同互联设备。根据具体情况,这些环境的范围从静态(例如无线传感器)到高度动态(例如车载网络),涉及拓扑变化,并且对吞吐量、时间延迟、能耗等有不同的限制。在拓扑变化的临时环境中支持这样的应用程序是一项具有挑战性的任务。因此,本文重新审视了基于tdma的MAC策略,并提出了一种新的策略,即改进策略,该策略建立并改进了文献中出现的拓扑无关策略。特别地,引入了单个访问概率,该概率由每个节点分布式计算,以访问可能导致冲突的时隙,但如果不这样做,则将利用未使用的网络资源,从而提高吞吐量。改进策略的关键思想是识别并避免在可能出现碰撞的时段传输。本文还推导了个体访问概率的解析表达式。仿真实验还表明,在该策略下,除了提高吞吐量外,还降低了能耗。
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