Abstract

Power-efficient multicast routing is an active research field in wireless networks because most network nodes are powered by battery. However, this kind of multicast routing only considers the transmission radius coverage without addressing whether the signal quality is able to meet bandwidth requirement of the users. In this article, by leveraging on the Maximum Ratio Combining signal processing technique, a novel cooperative multicast routing scheme that meets the Signal-to-Noise Ratio (SNR) requirements of the traffic demands in power efficient way is developed. This problem is formulated as an optimization problem where the objective is to minimize the total transmission power subject to the SNR constraint. This is a challenging cross-layer design problem to simultaneously consider the cooperative routing in the network layer and the SNR-aware power control in the physical layer. A heuristic algorithm called bandwidth-aware cooperative radius adjustment (BACRA) is proposed to tackle this problem. The basic idea of BACRA is to select the node with the maximum ratio of contributed SNR to the power (denoted as SNR/P) to expand its power one at a time until the SNR requirements are all satisfied. The BACRA is proved to be optimal in terms of the SNR/P performance ratio. Numerical results demonstrate that the BACRA outperforms the other heuristics under all tested cases, especially in stringent SNR requirements and sparse network.

Highlights

  • In wireless network, node power radiation management is an important issue since most of the network nodes are powered by the battery

  • For the first time, a cooperative routing heuristic algorithm, bandwidth-aware cooperative radius adjustment (BACRA), to obtain the minimum power multicast routing in large wireless networks that meets the bandwidth QoS requirement is proposed

  • When the number of destination nodes are close to the broadcasting case (e.g., 1,900 to 2,000 nodes), the transmission power will be saturated to an upper value especially in high Signal-to-Noise Ratio (SNR) requirements (i.e., 64 QAM modulation)

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Summary

Introduction

Node power radiation management is an important issue since most of the network nodes are powered by the battery. This article is a pioneer in addressing the MPBBA problem via cooperative communication by proposing integrated cross-layer heuristics that intelligently perform the SNRaware minimum power multicast and convergecast routing in wireless ad hoc network to meet the SNR requirements of the destination nodes. For the first time, a cooperative routing heuristic algorithm, BACRA, to obtain the minimum power multicast routing in large wireless networks that meets the bandwidth QoS requirement is proposed. When the modulation scheme for every node in the network is fixed, the minimum SNR to successfully decode the received data is determined to meet the bandwidth requirement. In other words, when the modulation scheme is fixed, the MPBBA problem becomes to minimize total energy consumption subject to the SNR requirements of the destination nodes This is a valid assumption because energy saving is the most important factor in wireless network. A heuristic algorithm to tackle Problem (P) in the following is proposed

Methods
Meeting the SNR requirements before transmitting
Larger transmission power in sophisticated modulation scheme
Saturated power increasing at larger number of destination nodes
Superior performance of BACRA to the other algorithms
Larger transmission power in sparse networks than in dense networks
Findings
Conclusions and future work
Full Text
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