Threshold behavior of multi-path random key pre-distribution for sparse wireless sensor networks

doi:10.1016/j.mcm.2012.03.001

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/27950

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27950

Title:	Threshold behavior of multi-path random key pre-distribution for sparse wireless sensor networks
Authors:	Li, Wei-Shuo Tsai, Chun-Wei Chen, Min Hsieh, Wen-Shyong Yang, Chu-Sing
Contributors:	應用空間資訊系
Keywords:	Sensor Network Security Random Key Pre-Distribution
Date:	2013-06
Issue Date:	2014-05-26 10:50:18 (UTC+8)
Publisher:	Pergamon-Elsevier Science Ltd
Abstract:	Wireless sensor network (WSN) has been an active research topic because its application encompasses various domains. In particular, a lot of attention have been paid to the common feature of WSN to show that every node in a large enough network contains certain properties. Real-world applications of random key pre-distribution naturally involve geometric and combinatorial techniques and are even more challenging technically. This paper presents an efficient scheme, which can approximate a complex network by a much simpler object such that the approximation is "regular" between most pairs of partition of this network. Once a more traceable network is obtained, bounds for the probability of the property that a random key pre-distribution subgraph satisfies that each node has a path of length l to its l th-hop neighbors are established. Then, by using the sparse version of Szemeredi's regularity lemma and letting C be a constant, n the number of vertices, p the probability of any two nodes sharing at least one common key, a sharp threshold p >= Cn(-(l-1)/l) that satisfies this property is shown. Moreover, computer simulations are also given to show the performance of the proposed scheme. (C) 2012 Elsevier Ltd. All rights reserved.
Relation:	Mathematical And Computer Modelling, v.57 n.11-12, pp.2776-2787
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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