TY - GEN
T1 - Minimizing Total Interference in Asymmetric Sensor Networks
AU - Abu-Affash, A. Karim
AU - Carmi, Paz
AU - Katz, Matthew J.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85096483838&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62401-9_1
DO - 10.1007/978-3-030-62401-9_1
M3 - Conference contribution
AN - SCOPUS:85096483838
SN - 9783030624002
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 16
BT - Algorithms for Sensor Systems - 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020, Revised Selected Papers
A2 - Pinotti, Cristina M.
A2 - Navarra, Alfredo
A2 - Bagchi, Amitabha
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020
Y2 - 9 September 2020 through 10 September 2020
ER -