8 research outputs found

    Enhancing Wireless Sensor Networks Routing Protocols based on Cross Layer Interaction

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    Wireless sensor networks aim to develop a smart city based on sensing environment. The routing protocols of wireless sensor networks is important to transfer the data in smart cities since sensor nodes have limited power and transmission range. The aim of this research is to enhance wireless sensor networks routing protocols based on proposed cross-layer interaction between physical layer and network layer also a proposed routing table information of wireless sensor nodes is developed to consider the transmission power of neighbor’s nodes to determine the next hop. Cross-layer interaction provides a useful information and effective adaptation for WSN routing protocols. As a result, the proposed routing protocol shows an improvement in network performance when number of intermediate nodes are minimized

    On the Strength of Connectivity of Inhomogeneous Random K-out Graphs

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    Random graphs are an important tool for modelling and analyzing the underlying properties of complex real-world networks. In this paper, we study a class of random graphs known as the inhomogeneous random K-out graphs which were recently introduced to analyze heterogeneous sensor networks secured by the pairwise scheme. In this model, first, each of the nn nodes is classified as type-1 (respectively, type-2) with probability 0<μ<10<\mu<1 (respectively, 1μ)1-\mu) independently from each other. Next, each type-1 (respectively, type-2) node draws 1 arc towards a node (respectively, KnK_n arcs towards KnK_n distinct nodes) selected uniformly at random, and then the orientation of the arcs is ignored. From the literature on homogeneous K-out graphs wherein all nodes select KnK_n neighbors (i.e., μ=0\mu=0), it is known that when Kn2K_n \geq2, the graph is KnK_n-connected asymptotically almost surely (a.a.s.) as nn gets large. In the inhomogeneous case (i.e., μ>0\mu>0), it was recently established that achieving even 1-connectivity a.a.s. requires Kn=ω(1)K_n=\omega(1). Here, we provide a comprehensive set of results to complement these existing results. First, we establish a sharp zero-one law for kk-connectivity, showing that for the network to be kk-connected a.a.s., we need to set Kn=11μ(logn+(k2)loglogn+ω(1))K_n = \frac{1}{1-\mu}(\log n +(k-2)\log\log n + \omega(1)) for all k=2,3,k=2, 3, \ldots. Despite such large scaling of KnK_n being required for kk-connectivity, we show that the trivial condition of Kn2K_n \geq 2 for all nn is sufficient to ensure that inhomogeneous K-out graph has a connected component of size nO(1)n-O(1) whp
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