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Maximizing resource sharing by minimizing response time in ad-hoc network

机译:通过最小化Ad-hoc网络中的响应时间来最大限度地提高资源共享

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In a mobile ad hoc network, nodes that are close to one another may need to have exclusive access to a shared resource, which means that only one node can access the resource at the same time. This mutual exclusion algorithm requires nodes to communicate with only their current neighbors, this paper provides a solution to this problem and it is an extension to mobile networks of the dining philosopher's problem. A Primary goal in the design of wireless sensor networks is life time maximization, constrained by the energy capacity of batteries. One well known method to reduce energy consumption in such networks is data aggregation. It has the advantage of incurring less communication overhead. One of the features of an algorithm is having response time and failure locality independent of the total number of nodes, and thus providing a scalable and robust solution. One of this algorithm has response time that depends on the number of nodes in the entire system and is polynomial in the maximum number of neighboring nodes; the failure locality, is small and grows very slowly with system size and it does not provide optimal solution. The second algorithm has optimal failure locality and response time that is quadratic in the number of nodes. The important aspect of the later algorithm is that it gives linear response time when nodes do not move, provides better improvement in previous results.
机译:在移动ad hoc网络中,彼此接近的节点可能需要具有对共享资源的独占访问权限,这意味着只有一个节点可以同时访问资源。该互斥算法需要节点与当前邻居仅与当前邻居进行通信,本文为此问题提供了解决方案,并且它是用于DINED PHILOSOPHER的移动网络的扩展。无线传感器网络设计中的主要目标是终身最大化,受电池的能量容量约束。一种众所周知的减少这种网络中能量消耗的方法是数据聚合。它具有产生较少的通信开销的优点。算法的一个特征是具有独立于节点总数的响应时间和故障局部,从而提供可扩展且坚固的解决方案。该算法之一具有响应时间,这取决于整个系统中的节点数量,并且是相邻节点的最大数量的多项式;故障局部性,很小,并且系统尺寸非常缓慢地增长,并且不提供最佳解决方案。第二算法具有最佳故障位置和响应时间在节点数量中是二次的。稍后算法的重要方面是它在节点不会移动时提供线性响应时间,提供了先前结果的更好的改进。

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