Node localization to optimize the MPR selection in smart mobile communication

Mohammed Souidi, A. Habbani, Halim Berradi, Bilal Essaid
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引用次数: 13

Abstract

Nowadays, we are converging more and more towards smart environments like smart cars, drones, unmanned airplanes, internet of things and connected homes... These new gadgets are in need to communicate and interact with each other for their proper functioning. Due to their easy implementation, the mobile ad hoc networks constitute the fastest and the most efficient way to establish connection in smart environments. However, in proactive ad hoc routing protocol, like the Optimized Link State Routing, maintaining the topology increases the overhead and consumes a considerable energy power. In smart environments, some terminals are battery powered. Designing efficient communication protocols is crucial to decrease the interferences, to enhance the performance of the network and to reduce the consumption of energy. In this paper, we use the node localization in the context of OLSR to select dispersive Multi-Point Relays responsible of broadcasting the topology into the entire network. We divide the environment into several virtual zones. Then we try to elect forwarders at different partitions to cover the maximum surface area in order to reach the greater number of devices. The simulations show that our proposal reduces at certain extent, the amount of traffic overhead, improves the network capacity and lets more bandwidth for the smart environment's applications.
智能移动通信中优化MPR选择的节点定位
如今,我们越来越多地向智能环境融合,比如智能汽车、无人机、无人驾驶飞机、物联网和互联家庭……这些新设备需要相互沟通和互动才能正常工作。由于易于实现,移动自组织网络构成了在智能环境中建立连接的最快和最有效的方式。然而,在主动ad hoc路由协议中,如优化链路状态路由,维护拓扑会增加开销并消耗相当大的能量。在智能环境中,一些终端是电池供电的。设计高效的通信协议是减少干扰、提高网络性能和降低能耗的关键。在本文中,我们使用OLSR背景下的节点定位来选择负责将拓扑广播到整个网络的分散多点中继。我们将环境划分为几个虚拟区域。然后,我们尝试在不同分区选择转发器,以覆盖最大的表面积,以达到更多的设备数量。仿真结果表明,该方案在一定程度上减少了网络的流量开销,提高了网络容量,为智能环境的应用提供了更多的带宽。
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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