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Virtual grid-based rendezvous point and sojourn location selection for energy and delay efficient data acquisition in wireless sensor networks with mobile sink

机译:基于虚拟网格的Rendezvous点和Sojourn位置选择能量和延迟高效数据采集的无线传感器网络与移动接收器

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Rendezvous points (RPs) based data acquisition methods are widely accepted as the solution for data acquisition delay/latency problem. In these methods, RPs are a subset of sensor nodes, that store the data of other sensor nodes and forward them to the mobile sink (MS). The locations where MS must arrive to acquire data from RPs are called as sojourn locations. RPs are prone to exhaust energy due to the additional activity of forwarding the data and create the energy-hole problem. Although re-selection of RPs mitigates the energy-hole problem, however, it increases the control overhead due to topology reconstruction. Among the various type of RPs selection methods, the grid-based RP selection is a straight-forward and one-time topology construction method. In the existing grid-based RP selection, grid cell coordinators serve as RPs, which are also considered as sojourn locations of MS, and it increases data acquisition latency. This paper proposes a new virtual grid-based rendezvous point and sojourn location selection (VGRSS) method for energy and delay efficient data acquisition that exploits the virtual-grid and constructs an energy efficient search region inside each grid cell. Afterward, it adopts fuzzy interference system to select/re-select RPs from this region. Additionally, the distributed re-selection of RPs for each grid cell reduces between 10 and 30.84% reconstruction overhead of the entire topology. Along with this, the selection of intersection points of four grid cells as sojourn locations of MS decreases between 14 and 31.25% the data acquisition latency in VGRSS. Through simulation results, this paper demonstrates that the VGRSS is efficient over state-of-the-art in terms of energy consumption, control overhead, network lifetime and data acquisition latency.
机译:基于集合点(RPS)的数据采集方法被广泛接受为数据采集延迟/延迟问题的解决方案。在这些方法中,RPS是传感器节点的子集,其存储其他传感器节点的数据并将它们转发到移动接收器(MS)。 MS必须到达从RPS获取数据的位置称为Sojourn位置。由于转发数据的额外活动并创建能量孔问题,RPS易于排气能量。虽然重新选择RPS减轻了能量孔问题,但是由于拓扑重建,它增加了控制开销。在各种类型的RPS选择方法中,基于网格的RP选择是直接和一次性拓扑结构方法。在现有的基于网格的RP选择中,网格单元协调器用作RPS,其也被认为是MS的Sojourn位置,并且它增加了数据采集延迟。本文提出了一种新的基于网络的Rendezvous点和Sojourn位置选择(VGRSS)方法,用于能量和延迟有效的数据采集方法,该方法利用虚拟网格,并在每个网格单元内构建节能搜索区域。之后,它采用模糊干扰系统从该区域选择/重新选择RPS。此外,每个网格电池的RPS的分布式重新选择降低了整个拓扑的10%和30.84%的重建开销。除此之外,四个网格单元的交叉点的选择,因为MS的Sojourn位置在VGRS中的数据采集延迟之间的降低14至31.25%之间。通过仿真结果,本文在能耗,控制开销,网络生命周期和数据采集延迟方面,VGRS在最先进的情况下高效。

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