Minimizing Total Interference in Asymmetric Sensor Networks

A. Karim Abu-Affash, Paz Carmi, Matthew J. Katz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of computing a connected network with minimum interference is a fundamental problem in wireless sensor networks. Several models of interference have been studied in the literature. The most common model is the receiver-centric, in which the interference of a node p is defined as the number of other nodes whose transmission range covers p. In this paper, we study the problem of assigning a transmission range to each sensor, such that the resulting network is strongly connected and the total interference of the network is minimized. For the one-dimensional case, we show how to solve the problem optimally in time. For the two-dimensional case, we show that the problem is NP-complete and give a polynomial-time 2-approximation algorithm for the problem.

Original languageEnglish
Title of host publicationAlgorithms for Sensor Systems - 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020, Revised Selected Papers
EditorsCristina M. Pinotti, Alfredo Navarra, Amitabha Bagchi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-16
Number of pages16
ISBN (Print)9783030624002
DOIs
StatePublished - 1 Jan 2020
Event16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020 - Pisa, Italy
Duration: 9 Sep 202010 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12503 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020
Country/TerritoryItaly
CityPisa
Period9/09/2010/09/20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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