Abstract

This paper addresses first the problem of max-min fair (MMF) link transmissions in wireless sensor networks (WSNs) and in a second stage studies the joint link scheduling and transmission power assignment problem. Given a set of concurrently transmitting links, the MMF link transmission problem looks for transmission powers of nodes such that the signal-to-interference and noise ratio (SINR) values of active links satisfy max-min fairness property. By guaranteeing a “fair” transmission medium (in terms of SINR), other network requirements may be directly affected, such as the schedule length, the throughput (number of concurrent links in a time slot), and energy savings. Hence, the whole problem seeks to find a feasible schedule and a power assignment scheme such that the schedule length is minimized and the concurrent transmissions have a fair quality in terms of SINR. The focus of this study falls on the transmission power control strategy, which ensures that every node that is transmitting in the network chooses a transmission power that will minimally affect the other concurrent transmissions and, even more, achieves MMF SINR values of concurrent link transmissions. We show that this strategy may have an impact on reducing the network time schedule.

Highlights

  • Wireless sensor networks (WSNs) are presently used in a wide range of applications

  • We investigate the problem of max-min fair signal-to-interference and noise ratio (SINR) link transmission (MMFSLT)

  • The MMFSLT problem aims to find a transmission power assignment scheme such that the concurrent transmissions in the network have a fair quality in terms of SINR

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Summary

Introduction

Wireless sensor networks (WSNs) are presently used in a wide range of applications. They are usually deployed as a standalone system or as part of a larger, more sophisticated system, such as the Internet-of-Things. This technology has stringent requirements mainly related to energy and wireless transmission medium. The concurrent wireless transmissions may be corrupted, which increases the number of packet retransmissions. This may cause energy depletion and delays in the network. RSSI or PRR may not capture the effect of interference in particular scenarios as will be further detailed

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