IMPROVED PERFORMANCE OF HYBRID ALGORITHM FOR 3G – WIFIOFFLOAD NETWORKS

Authors

  • Setiyo Budiyanto Department of Electrical Engineering, University of Indonesia Depok 16424, Indonesia
  • Muhamad Asvial Department of Electrical Engineering, University of Indonesia Depok 16424, Indonesia
  • Dadang Gunawan Department of Electrical Engineering, University of Indonesia Depok 16424, Indonesia

DOI:

https://doi.org/10.11113/jt.v78.8780

Keywords:

Roulette wheel, rank, GZRP, 3G – WiFi Offload

Abstract

A new algorithm for optimizing  3G–WiFioffload and load balancing between nodes, called as New – Genetic Zone Routing Protocol (N – GZRP), is proposed in this paper. N – GZRP is a combination of outputs of Roulette Wheel selections method (RWs) and Rank Selections Method (Rs). Output from RWs is optimized by Rs where Rs is used as a threshold value of the uncertainty that occurs due to the use of RWs.  The algorithm is implemented for detecting the performance of mobile devices on several different types of networks.  The simulation results are compared with the (RWs)–GZRPand ZRP algorithm. The simulation results show that 35% of power consumption can be saved by using the proposed algorithm compared with GZRPalgorithm. Moreover,when compared with ZRP algorithm the proposed algorithm can save 60% power consumption. In addition, N – GZRP has a more stable throughput which is 3 Kbps higher than ZRP. The simulation results also show that N–GZRPhas smaller average delay than GZRP and ZRPwhich are about 20 msand 1400 ms, respectively.N – GZRP also reduces the synchronization delay about 25 ms and 45 ms compared withGZRPalgorithmand ZRP algorithm, respectively.

References

Koopman P. 2002. 32-bit Cyclic Redundancy Codes for Internet Applications. Proc. IEEE International Conference on Dependable Systems and Networks. 459-468.

Budiyanto S., Asvial M., &Gunawan D.2013. Implementation of Genetic Zone Routing Protocol (GZRP) in 3G-WiFi Offload Multi Base Station, Intl Conference of IEEE Tencon 2013.

Budiyanto S., Asvial M., &Gunawan D., 2014. Performance Analysis of Genetic Zone Routing Protocol Combined with Vertical Handover Algorithm in 3G – WiFi Offload. Journal of ICT Research and Applications. 2(2): 49 – 63

Kumar P. S. and Ramachandram S. 2009. Load Balancing in Genetic Zone Routing Protocol for MANETs, International Journal of Computer and Information Engineering. 3(4): 261 – 266

Haas Z. J. and Pearlman M. R. 2001. The performance of query control schemes for the zone routing protocol, IEEE/ACM Transactions on Networking. 9: 427-438

Youngbin I., Joe-Wong C. 2013. AMUSE: Empowering Users for Cost-Aware Offloading with Throughput-Delay Tradeoffs, Proceedings IEEE INFOCOM

Lin G., Iosifidis G. 2013. Economics of Mobile Data Offloading, IEEE INFOCOM Workshop

Paris S., Martignon F. 2013. A Bandwidth Trading Marketplace for Mobile Data Offloading, Proceedings IEEE INFOCOM

Taleb S., Dia M., 2013. On the Design of Energy-Aware 3G/WiFi Heterogeneous Networks Under Realistic Conditions. IEEE Computer Society

Aaron Yi D., Han B., Xiao Y. 2013. Enabling Energy-Aware Collaborative Mobile Data Offloading for Smartphones. IEEE International Conference on Sensing, Communications and Networking (SECON)

Gandhi S., Chaubey N., Tada N., TrivediS. 2012. Scenario-based Performance Comparison of Reactive, Proactive & Hybrid Protocols in MANET, International Conference on Computer Communication and Informatics (ICCCI -2012)

Zhou J., Xu H., Qin, Z. 2013. Ad Hoc On-Demand Multipath Distance Vector Routing Protocol Based on Node State. Computers and Networking Scientific Research.

Pochhi R. D., Konde G. P. 2013. Performance Analysis of Single path and Multipath Routing Protocol over Cognitive Radio ADHOC Networks. International Journal of Scientific Engineering and Technology (IJSET). 2(10):1056-1061

ISMAIL, Atif; ROH, Byeong-hee. 2011. Adaptive Handovers in heterogeneous networks using fuzzy MADM. In: Mobile IT Convergence (ICMIC), 2011 International Conference on. IEEE. 99 – 104

Chandrasekhar V., Andrews J.G., & Gatherer A.,Femtocell networks: A survey, IEEE Communications Magazine. 46(9): 59 – 67

Al-Marhabi R., Haggag M.,and AboutablA. E., Roulette Wheel Selection Model based on Virtual Machine Weight for Load Balancing in Cloud Computing. IOSR Journal of Computer Engineering (IOSR-JCE).16(5-VII): 65-70

Downloads

Published

2016-05-26

How to Cite

IMPROVED PERFORMANCE OF HYBRID ALGORITHM FOR 3G – WIFIOFFLOAD NETWORKS. (2016). Jurnal Teknologi (Sciences & Engineering), 78(5-9). https://doi.org/10.11113/jt.v78.8780