Effect of network parameters on neighbor wireless link breaks in GPSR protocol and enhancement using mobility prediction model

被引:17
作者
Alsaqour, Raed A. [1 ]
Abdelhaq, Maha S. [1 ]
Alsukour, Ola A. [2 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Informat Sci & Technol, Sch Comp Sci, Bangi 43600, Selangor, Malaysia
[2] Univ Jordan, Fac Engn & Technol, Dept Comp Engn, Amman 11942, Jordan
关键词
GPSR; position-based routing protocol; neighbor wireless link break; mobility prediction; AD HOC;
D O I
10.1186/1687-1499-2012-171
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The greedy perimeter stateless routing (GPSR) protocol is a well-known position-based routing protocol. Data packet routing in position-based routing protocols uses the neighbors' geographical position information, which is stored in the sender's neighbors list, and the destination's position information stored in the routing data packet header field to route the packet from source to destination. In the GPSR protocol, the sender routes the packets to a neighboring node, whose geographical position is the closest to the destination of all the sender's neighbors. However, the selected neighbor is closer to the edge of the maximum of the sender's transmission range and thus has a higher likelihood of leaving the transmission range of the sender. Thus, the wireless link between the sender node and its routing neighboring node may break down, which degrades the performance of the routing protocol. In this study, we identify and study the effects of network parameters (beacon packet interval-time, node speed, network density, transmission range, and network area size) on wireless link breakage, identified as the neighbor wireless link break (NWLB) problem, in the GPSR protocol. To overcome the NWLB problem, we propose a neighbor wireless link break prediction (NWLBP) model. The NWLBP model predicts the accurate position of a routing neighboring node in the sender's neighbors list before routing the data packet to that neighbor. The simulation results show the ability of the NWLBP model to overcome the observed problem and to improve the overall performance of the GPSR protocol.
引用
收藏
页数:15
相关论文
共 21 条
[1]  
[Anonymous], 2011, NEXT GENERATION MOBI
[2]  
[Anonymous], P 22 IR C ART INT CO
[3]   A survey of mobility models for ad hoc network research [J].
Camp, T ;
Boleng, J ;
Davies, V .
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2002, 2 (05) :483-502
[4]  
Chakeres ID, 2002, 5TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS, VOLS 1-3, PROCEEDINGS, P504, DOI 10.1109/WPMC.2002.1088225
[5]   Routing protocol for ad hoc mobile networks using mobility prediction [J].
Creixell, Werner ;
Sezaki, Kaoru .
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2007, 2 (03) :149-156
[6]  
Elliott D.K., 2005, Understanding GPS: Principles and Applications, V2nd ed.
[7]   Velocity-assisted predictive mobility and location-aware routing protocols for mobile ad hoc networks [J].
Feng, Kai-Ten ;
Hsu, Chung-Hsien ;
Lu, Tse-En .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57 (01) :448-464
[8]  
Gomez J, 2004, IEEE INFOCOM SER, P1425
[9]   Discrete-event simulation modeling tool for routing process in GPSR Ad hoc network routing protocol [J].
Ismail, Mahamod ;
Shanudin, Mohamad ;
Saqour, Raed .
ICT-MICC: 2007 IEEE INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MALAYSIA INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1 AND 2, PROCEEDINGS, 2007, :86-+
[10]  
Karp B., 2000, MobiCom 2000. Proceedings of the Sixth Annual International Conference on Mobile Computing and Networking, P243, DOI 10.1145/345910.345953