Abstract

Abstract Abstract In this article, we study the asymptotic behavior of flooding in large scale wireless networks. Specifically, we derive an upper bound on the coverage of flooding when the number of nodes n in the network goes to infinity. We consider two different regimes of transmission radii: first, the case of constant transmission radius r where the percentage of covered nodes scales as O ( n r 2 e − K S n r 2 ) for a constant K S > 0. In this case, as an important result, we observe that the percentage of covered nodes is upper bounded by a decreasing function, vanishing as the network size grows. Second, the case of vanishing r n (i.e., r decreases as n increases) is considered where it is shown in the literature that the minimum value of r n which maintains connectivity is log n / Π n . In this case, a coverage percentage of at most O ( n − K S ′ log n ) is expected for a constant value of K S ′ > 0 , leading to an infinite number of covered nodes. In such case, the rate at which the network coverage is decreased can be controlled and be considerably reduced by a proper choice of network parameters ( K S ′ ). Consequently, this result shows that flooding is a suitable strategy even for large networks.

Highlights

  • Flooding is the simplest and most widely used form of broadcasting in wireless networks where each node retransmits received data once to its neighboring nodes [1,2]

  • When the transmission radius approaches zero as network size grows, we show that a coverage bound close to 100% can be obtained in realistic large networks

  • An analysis has been performed for both cases of constant transmission radius r and vanishing radius rn when the number of nodes n goes to infinity

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Summary

Introduction

Flooding is the simplest and most widely used form of broadcasting in wireless networks where each node retransmits received data once to its neighboring nodes [1,2]. Wide adoption of flooding for broadcasting traffic is mainly due to its simplicity. It does not require any centralized information about the network. In probabilistic flooding—a variant of flooding introduced in [7]—each node retransmits received data with a pre-set probability called forwarding factor in order to reduce unnecessary retransmissions. After the seminal study of Gupta and Kumar in [8], the scaling laws and fundamental limits of large wireless networks have received much attention.

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