Analysis of planar mobile distribution and interference evaluation in wireless ad-hoc networks
Article No.: 22, Pages 1 - 6
Abstract
With widely application of large-scale wireless communication system, the spatial location of the user and the access point is often not completely regular. The intensity of the interference and the signal received by the receiver are all directly rely on the position of the node, and the spatial topology of the wireless Ad-Hoc network and its change are the key factors that affect network performance. The probability distribution is established when the nodes are mobile in wireless Ad-Hoc networks. Using angle θn to explain the different motion direction of the nodes, and the probability distribution function is derived from the node continuous motion angle difference Φn as a random variable. In the evaluation of interference, the interference distance is used as the basis of the assessment. Therefore, defining interference coefficient β to establish interference assessment scope, to analyze the intensity of interference between different links through the relationship between the distance of the sender node in interference link to receiving node in estimation link and interference assessment scope. And, the distribution function of the interference in wireless Ad-Hoc networks is derived with the random variable Φn. Then the reliability and universality of the model are illustrated by numerical simulation.
References
[1]
Bettstetter, Christian, Hannes Hartenstein, and Xavier Pérez-Costa, "Stochastic properties of the random waypoint mobility model." Wireless Networks, vol. 10, no. 5, pp. 555--567, 2004.
[2]
Hong, and Xiaoyan, "A group mobility model for ad hoc wireless networks." Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems. ACM, 1999.
[3]
Foh, and Chuan Heng, "Network connectivity of one-dimensional MANETs with random waypoint movement." IEEE Communications Letters, vol. 9, no. 1, pp. 31--33, 2005.
[4]
Camp, Tracy, Jeff Boleng, and Vanessa Davies, "A survey of mobility models for ad hoc network research." Wireless communications and mobile computing, vol.2, no.5, pp. 483--502, 2002.
[5]
Q. Li, and R. Negi, "Maximal Scheduling in Wireless Ad-Hoc Networks with Hypergraph Interference Models," IEEE Trans. on Vehicular Technology, vol. 61, no. 1, pp. 297--310, Jan. 2012.
[6]
M. Khabbazian, S. Durocher, A. Haghnegahdar, and F. Kuhn, "Bounding Interference in Wireless Ad-Hoc Networks with Nodes in Random Position," IEEE/ACM Trans. on Networking, vol. 23, no. 4, pp. 1078--1091, Aug. 2015.
[7]
M. Dianati, X. Ling, K. Naik, and X. Shen, "A Node-Cooperative ARQ Scheme for Wireless Ad-Hoc Networks," IEEE Trans. on Vehicular Technology, vol. 55, no. 3, pp. 1032--1044, May. 2006.
[8]
H. Ding, S. Ma, C. Xing, Z. Fei, Y. Zhou, and C. L. Philip Chen, "Analysis of Hybrid ARQ in Ad Hoc Networks with Correlated Interference and Feedback Errors," IEEE Trans. Wireless Communications, vol. 12, no. 8, pp. 3942--3955, Aug. 2013.
[9]
R. K. Ganti, J. G. Andrews, and M. Haenggi, "High-SIR transmission capacity of wireless networks with general fading and node distribution," IEEE Trans. Information Theory, vol. 57, no.5, pp. 3100--3116, May. 2011.
[10]
C. Liu,and J.G. Andrews, "Ergodic transmission capacity of wireless Ad-Hoc networks with interference management," IEEE Trans. Wireless Commun., vol. 11, no. 6, pp. 2136--2147, Jun.2012.
[11]
Y. Taniguchi, "A Study on Radio Interference Estimation Method for Wireless Relay Network Link Scheduling," In 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology, pp. 292--297.
[12]
W. San-Um, P. Ketthong, and J. Noymanee, "A Deterministic Node Mobility Model for Mobile Ad Hoc Wireless Network using Signum-Based Discrete-Time Chaotic Map," In 2015 International Telecommunication Network and Applications Conference(ITNAC), pp. 114--119.
[13]
T. Veerawadtanapong, and W. San-Um, "A New Deterministic Node Mobility Model using Logistic Map for Mobile Ad Hoc Wireless Network," In 2013 5th International Conference on Knowledge and Smart Technology(KST), pp. 53--58.
[14]
Y. Zhuang, T. Aaron Culliver, and Y. Coady, "On Planar Tessellations and Interference Estimation in Wireless Ad-Hoc Networks," IEEE Wireless Communication Letters, vol. 2, no. 3, pp. 331--334, Jun. 2013.
[15]
Bettstetter, Christian, and Christian Wagner. "The Spatial Node Distribution of the Random Waypoint Mobility Model." WMAN, pp. 41--58, Nov. 2002.
[16]
Bettstetter, Christian, Giovanni Resta, and Paolo Santi. "The node distribution of the random way point mobility model for wireless ad hoc networks." IEEE Transactions on mobile computing, vol. 2, no. 3, pp. 257--269, 2003.
Index Terms
- Analysis of planar mobile distribution and interference evaluation in wireless ad-hoc networks
Recommendations
Infrastructure-based routing in wireless mobile ad hoc networks
In this paper, we propose a new protocol for wireless mobile ad hoc communications, which establishes a dynamic wireless mobile infrastructure to mimic and maintain the operation of the fixed infrastructure in cellular networks, namely, the Virtual Base ...
Performance evaluation of routing protocols for ad hoc wireless networks
A mobile ad hoc network is a collection of autonomous mobile nodes that communicate with each other over wireless links. Such networks are expected to play an increasingly important role in future civilian and military settings, being useful for ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
December 2016
358 pages
ISBN:9781450347990
DOI:10.1145/3028842
Copyright © 2016 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- Jilin Institute of Chemical Technology: Jilin Institute of Chemical Technology, Jilin, China
- Wanfang Data: Wanfang Data, Beijing, China
- CNKI: CNKI, Beijing, China
- Airiti: Airiti, Taiwan
- Guilin: Guilin University of Technology, Guilin, China
- Wuhan University of Technology: Wuhan University of Technology, Wuhan, China
- Ain Shams University: Ain Shams University, Egypt
- International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 23 December 2016
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
ICIIP 2016
Sponsor:
- Jilin Institute of Chemical Technology
- Wanfang Data
- CNKI
- Airiti
- Guilin
- Wuhan University of Technology
- Ain Shams University
- International Engineering and Technology Institute, Hong Kong
ICIIP 2016: 2016 International Conference on Intelligent Information Processing
December 23 - 25, 2016
Wuhan, China
Acceptance Rates
ICIIP '16 Paper Acceptance Rate 55 of 165 submissions, 33%;
Overall Acceptance Rate 87 of 367 submissions, 24%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 35Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 02 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in