2016
DOI: 10.1109/jsen.2015.2456931
|View full text |Cite
|
Sign up to set email alerts
|

A Connectivity-Aware Approximation Algorithm for Relay Node Placement in Wireless Sensor Networks

Abstract: Abstract-In two-tiered wireless sensor networks (WSNs), relay node placement is one of the key factors impacting the network energy consumption and the system overhead. In this paper, a novel connectivity-aware approximation algorithm for relay node placement in the WSNs is proposed to offer a major step forward in saving system overhead. In particular, a unique local search approximation algorithm (LSAA) is introduced to solve the relay node single cover (RNSC) problem. In this proposed LSAA approach, the sen… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
52
0
2

Year Published

2016
2016
2021
2021

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 79 publications
(54 citation statements)
references
References 31 publications
(60 reference statements)
0
52
0
2
Order By: Relevance
“…As SPTiRP [23] is the latest algorithm to the single-tiered DCRNP problem and there are no two-tiered DCRNP algorithms in literature, we combine the greedy-graph algorithm (GGA) [27] and the SPTiRP to solve the two-tiered DCRNP problem and compare this work with GGA-SPTiRP so as to evaluate the effectiveness of the proposed PSH. Besides, we also compare the PSH with the local search approximation algorithm (LSAA) which is proposed in [20] for the two-tiered RNP problem. The simulations are carried out under two scenarios, the homogeneous scenario, i.e., r ¼ R ¼ 10, and the heterogeneous scenario, i.e., r ¼ 10; R ¼ 15 and r ¼ 10; R ¼ 20.…”
Section: Simulation Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…As SPTiRP [23] is the latest algorithm to the single-tiered DCRNP problem and there are no two-tiered DCRNP algorithms in literature, we combine the greedy-graph algorithm (GGA) [27] and the SPTiRP to solve the two-tiered DCRNP problem and compare this work with GGA-SPTiRP so as to evaluate the effectiveness of the proposed PSH. Besides, we also compare the PSH with the local search approximation algorithm (LSAA) which is proposed in [20] for the two-tiered RNP problem. The simulations are carried out under two scenarios, the homogeneous scenario, i.e., r ¼ R ¼ 10, and the heterogeneous scenario, i.e., r ¼ 10; R ¼ 15 and r ¼ 10; R ¼ 20.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…Then, they respectively proposed two algorithms with O(1)-approximation ratio and O(ln n)-approximation ratio under different settings for 2CRNDC problem, where n is the number of SNs. Ma et al [20] proposed a local search based approximation algorithm to deploy RNs so as to fully cover SNs and a minimum spanning tree based algorithm to connect each previously deployed RN to the sink.…”
Section: Two-tiered Rnp Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…Due to the high costs of RNs, a minimum number of RNs are expected to be placed for building the connectivity, which is termed as the Relay Node Placement (RNP) problem. In recent years, the RNP problem has been extensively studied (Lin and Xue, 1999;Ma et al, 2016a;Cheng et al, 2007;Lloyd and Xue, 2007;Misra et al, 2010;Srinivas et al, 2009;Yang et al, 2012;Han et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…As to node authentication in practical application, the enemy captures sensor nodes for relevant information, and clones the pseudo node into the network in order to obtain, tamper, and forge network information, and even to carry out various malicious attacks on the network and disable the network [6][7]. Aiming at correctly identifying pseudo nodes in sensor networks so as to guarantee the security of WSN, a joint-ranging-based replication attack detection protocol has been designed in this paper to check the existence of pseudo-nodes in WSN by means of inter-node ranging.…”
Section: Introductionmentioning
confidence: 99%