An integer linear formulation scheme for data collection in wireless sensor network using mobile element (ME)

Sujeet Kumar, R. Chaudhary, A. Deepak, D. Dash
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引用次数: 2

Abstract

Nowadays wireless sensor network (WSN) plays an important role in every field of technology. Data collection is a major issue in WSN because the data has to be collected in a way that maximizes life time of WSN, minimizes the energy consumption and gives shortest path in case of mobile sinks. In this paper we divide the whole network into grids. Certain grids are critical (e.g., during a terror strike) in the sense that (a) it may not be possible for mobile elements to enter those grids, and (b) the sensor nodes in those grids are required to sense data at a higher rate due to the critically in the their surrounding environment. A subset of sensor nodes are designated as cache points such that each sensor node must deliver its sensed data to one of the cache points. Now the mobile movable sink has to make a tour schedule and visit each cache point exactly once such that it is able to collect data from all cache points in due time without causing buffer overflow at any of the cache points. We divide the problem into two parts. In the first part, we find cache points such that no cache point is also a critical sensor node and the energy consumption by critical nodes is minimized. In the second part, we find the shortest path among the caches points from the first step. Both problems are known to be NP-Complete and here we give ILP formulations for them.
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基于移动单元(ME)的无线传感器网络数据采集的整数线性表述方案
目前,无线传感器网络(WSN)在各个技术领域发挥着重要作用。数据收集是无线传感器网络的一个主要问题,因为数据的收集方式必须使无线传感器网络的寿命最大化,能量消耗最小化,并且在移动接收器的情况下给出最短的路径。在本文中,我们将整个网络划分为网格。某些网格是关键的(例如,在恐怖袭击期间),在某种意义上(a)移动元素可能不可能进入这些网格,以及(b)由于周围环境的关键,这些网格中的传感器节点需要以更高的速率感知数据。传感器节点的子集被指定为缓存点,使得每个传感器节点必须将其感测数据传递到缓存点之一。现在,移动可移动接收器必须制定一个行程计划,并访问每个缓存点一次,以便它能够在适当的时间从所有缓存点收集数据,而不会导致任何缓存点的缓冲区溢出。我们把这个问题分成两部分。在第一部分中,我们寻找缓存点,使得没有缓存点也是关键传感器节点,并且关键节点的能量消耗最小。在第二部分中,我们从第一步开始寻找缓存点之间的最短路径。已知这两个问题都是np完全的,这里我们给出它们的ILP公式。
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