TY - JOUR
T1 - Barrier coverage by sensors with adjustable ranges
AU - Fan, Haosheng
AU - Li, Minming
AU - Sun, Xianwei
AU - Wan, Peng Jun
AU - Zhao, Yingchao
N1 - Publisher Copyright:
© 2014 ACM.
PY - 2014/8/8
Y1 - 2014/8/8
N2 - One of the most fundamental tasks of wireless sensor networks is to provide coverage of the deployment region. We study the coverage of a line interval with a set of wireless sensors with adjustable coverage ranges. Each coverage range of a sensor is an interval centered at that sensor whose length is decided by the power the sensor chooses. The objective is to find a range assignment with the minimum cost. There are two variants of the optimization problem. In the discrete variant, each sensor can only choose from a finite set of powers, whereas in the continuous variant, each sensor can choose power from a given interval. For the discrete variant of the problem, a polynomial-time exact algorithm is designed. For the continuous variant of the problem, NP-hardness of the problem is proved and followed by an ILP formulation. Then, constant-approximation algorithms are designed when the cost for all sensors is proportional to rκfor some constant κ ≥ 1, where r is the covering radius corresponding to the chosen power. Specifically, if κ = 1, we give a 1.25-approximation algorithm and a fully polynomial-time approximation scheme; if κ > 1, we give a 2-approximation algorithm. We also show that the approximation analyses are tight.
AB - One of the most fundamental tasks of wireless sensor networks is to provide coverage of the deployment region. We study the coverage of a line interval with a set of wireless sensors with adjustable coverage ranges. Each coverage range of a sensor is an interval centered at that sensor whose length is decided by the power the sensor chooses. The objective is to find a range assignment with the minimum cost. There are two variants of the optimization problem. In the discrete variant, each sensor can only choose from a finite set of powers, whereas in the continuous variant, each sensor can choose power from a given interval. For the discrete variant of the problem, a polynomial-time exact algorithm is designed. For the continuous variant of the problem, NP-hardness of the problem is proved and followed by an ILP formulation. Then, constant-approximation algorithms are designed when the cost for all sensors is proportional to rκfor some constant κ ≥ 1, where r is the covering radius corresponding to the chosen power. Specifically, if κ = 1, we give a 1.25-approximation algorithm and a fully polynomial-time approximation scheme; if κ > 1, we give a 2-approximation algorithm. We also show that the approximation analyses are tight.
KW - Approximation algorithms
KW - Barrier coverage
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/84907202814
U2 - 10.1145/2629518
DO - 10.1145/2629518
M3 - 文章
AN - SCOPUS:84907202814
SN - 1550-4859
VL - 11
JO - ACM Transactions on Sensor Networks
JF - ACM Transactions on Sensor Networks
IS - 1
M1 - 14
ER -