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Assign ranges in general ad-hoc networks

机译:在常规网络中分配范围

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In this paper we theoretically study the MINIMUM RANGE ASSIGNMENT problem in static ad-hoc networks with arbitrary structure, where the transmission distances can violate triangle inequality. We consider two versions of the MINIMUM RANGE ASSIGNMENT problem, where the communication graph has to fulfill either the h-strong connectivity condition (MIN-RANGE(h-SC)) or the h-broadcast condition (MIN-RANGE(h-B)). Both homogeneous and non-homogeneous cases are studied. By approximating arbitrary edge-weighted graphs by paths, we present probabilistic O(log n)-approximation algorithms for MIN-RANGE(h-SC) and MIN-RANGE(h-B), which improves the previous best ratios O(log n log log n) and O(n~2 log n log log n), respectively [D. Ye, H. Zhang, The range assignment problem in static ad-hoc networks on metric spaces, Proceedings of the 11th Colloquium on Structural Information and Communication Complexity, Sirocco 2004, Lecture Notes in Computer Science, vol. 3104, pp. 291-302]. The result for MIN-RANGE(h-B) matches the lower bound [G. Rossi, The range assignment problem in static ad-hoc wireless networks. Ph.D. Thesis, 2003] for the case that triangle inequality for transmission distance holds (which is a special case of our model). Furthermore, we show that if the network fulfils certain property and the distance power gradient α is sufficiently small, the approximation ratio is improved to O((log log n)~α). Finally we discuss the applications of our algorithms in mobile ad-hoc networks.
机译:本文从理论上研究了具有任意结构的静态自组织网络中的最小距离分配问题,其中传输距离会违反三角不等式。我们考虑MINIMUM RANGE ASSIGNMENT问题的两个版本,其中通信图必须满足h强连接条件(MIN-RANGE(h-SC))或h广播条件(MIN-RANGE(h-B))。均质和非均质案例都得到了研究。通过按路径逼近任意边缘加权图,我们给出了MIN-RANGE(h-SC)和MIN-RANGE(hB)的概率O(log n)逼近算法,从而提高了以前的最佳比率O(log n log log n)和O(n〜2 log n log log n)分别[D. Ye,H. Zhang,度量空间上静态自组织网络中的范围分配问题,第11届结构信息和通信复杂性学术讨论会论文集,Sirocco 2004,计算机科学讲义,第1卷。 3104,第291-302页]。 MIN-RANGE(h-B)的结果与下限[G. Rossi,静态自组织无线网络中的范围分配问题。博士[论文,2003]],对于传输距离三角形不等式成立的情况(这是我们模型的特例)。此外,我们表明,如果网络满足一定的性质,并且距离功率梯度α足够小,则近似比会提高到O((log log n)〜α)。最后,我们讨论了算法在移动自组织网络中的应用。

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