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A Distributed TDMA Slot Scheduling Algorithm for Spatially Correlated Contention in WSNs

机译:WSN中空间相关竞争的分布式TDMA时隙调度算法

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In WSNs the communication traffic is often time and space correlated, where multiple nodes in a proximity start transmitting simultaneously. Such a situation is known asspatially correlated contention. The random access method to resolve such contention suffers from high collision rate, whereas the traditional distributed TDMA scheduling techniques primarily try to improve the network capacity by reducing the schedule length. Usually, the situation ofspatially correlated contentionpersists only for a short duration, and therefore generating an optimal or suboptimal schedule is not very useful. Additionally, if an algorithm takes very long time to schedule, it will not only introduce additional delay in the data transfer but also consume more energy. In this paper, we present a distributed TDMA slot scheduling (DTSS) algorithm, which considerably reduces the time required to perform scheduling, while restricting the schedule length to the maximum degree of interference graph. The DTSS algorithm supports unicast, multicast, and broadcast scheduling, simultaneously without any modification in the protocol. We have analyzed the protocol for average case performance and also simulated it using Castalia simulator to evaluate its runtime performance. Both analytical and simulation results show that our protocol is able to considerably reduce the time required for scheduling.
机译:在WSN中,通信流量通常与时间和空间相关,附近的多个节点开始同时传输。这种情况称为空间相关争用。解决这种争用的随机访问方法遭受高冲突率的困扰,而传统的分布式TDMA调度技术主要试图通过减小调度长度来提高网络容量。通常,空间相关争用者的情况仅持续很短的时间,因此生成最佳计划或次最佳计划不是很有用。此外,如果算法需要很长时间进行调度,那么它不仅会在数据传输中引入额外的延迟,还会消耗更多的能量。在本文中,我们提出了一种分布式TDMA时隙调度(DTSS)算法,该算法可大大减少执行调度所需的时间,同时将调度长度限制为最大程度的干扰图。 DTSS算法支持单播,组播和广播调度,同时无需对协议进行任何修改。我们分析了该协议的平均性能,并使用Castalia模拟器对其进行了仿真,以评估其运行时性能。分析和仿真结果均表明,我们的协议能够大大减少调度所需的时间。

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