This paper presented a new MANET accessing Internet model. In this model, the benefits of three nodes-the source node, gateway node and decision node, were considered synthetically, and gateways were arranged and selected according to the real-time state of accessing network. Otherwise, it simulated the pheromone's update process in ant colony algorithm and computed transmission probability according to the pheromone density on the link, link bandwidth and delay, which are found in searching route. When the gateway pheromone was calculated, it would be added to RREQ. This model was simulated by NS 2. The test result indicated that though it increased average delay, it reduced routing overhead effectively and increased packet delivery radio. The validity of algorithm is validated.
ZhaoY.L., MenC.G. and YangX.Z., Asymmetrical multi-gateway based Internet connectivity for MANET6, Chinese Journal of Harbin Institute of Technology (New Series)12 (2005), 173-178.
2.
RuizP.M. and Gomez-SkarmetaA.F., Enhanced interenet connectivity for hybrid Ad hoc networks through adaptive gateway discovery, Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (2004), 370-377.
3.
AmmariH. and EI-RewiniH., Integration of mobile ad hoc networks and the Internet using mobile gateways, Proceedings of the 18th International Parallel and Distributed Processing Symposium (2004), 218-225.
4.
BoukS.H., SasaseI., AhmedS.H. and JavaidN., Gateway discovery algorithm based on multiple qos path parameters between mobile node and gateway node, Journal of Communications and Networks14 (2012), 434-442.
5.
MiaoY., SunA. and YaoF., Study on research challenges and optimization for internetworking of hybrid manet and satellite networks, Spring International Publishing123 (2013), 90-101.
6.
ZhongS. and ZhangY., How to select optimal gateway in multidomain wireless networks: alternative solutions without learning, IEEE Transactions on Wireless Communications12 (2013), 5620-5630.
7.
ShenB., ShiB.X. and LiB., Adaptive Gateway Discovery Scheme for Connecting Mobile Ad Hoc Networks to the Internet, Proceedings of 2005 International Conference on Wireless Communications, Networking and Mobile Computing (2005), 795-799.
8.
HuangT.C. and WuS.Y., An adaptive gateway discovery algorithm for the integrated network of internet and MANET, Networking and Mobile Computing3619 (2005), 911-920.
9.
ShinJ., LeeH. and NaJ., Gateway discovery and routing in ad hoc networks with NAT-based internet connectivity, Proceedings of IEEE Vehicular Technology Conference (2004), 2883-2886.
10.
ZamanR.U., KhanK.U.R. and ReddyA.V., Path load balanced-fuzzy logic based adaptive gateway discovery in integrated internet-MANET, Proceedings of the 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (2012), 848-853.
11.
YusteA.J., TrivinoA., TrujilloF.D. and CasilariE., Type-2 fuzzy decision support system to optimise MANET integrationinto infrastructure-based wireless systems, Elsevier Journal of Expert Systems with Applications40 (2013), 2552-2567.
12.
MajumderK., RayS. and SarkarS.K., Implementation and performance analysis of the gateway discovery approaches in the integrated MANET-internet scenario, Proceedings of the IEEE 3rd International Conference on Communication Software and Networks3 (2011), 601-605.
13.
SalujaR.K. and ShrivastavaR., A scenario based approach for gateway discovery using MANET routing protocol, Proceedings of the International Conference on Computer Communication and Informatics (2012), 1-6.
14.
PengP.F., LinY.P., HuB. and ZhangG.F., Optimal PID control of self-adapted ant colony algorithm based on genetic gene, Chinese Journal of Acta Electronica Sinica34 (2006), 1109-1113.
15.
XuH., JuL., GuoC. and JiaZ.P., On-demand gateway broadcast scheme for connecting mobile ad hoc networks to the Internet, International Conference on Smart Computing (2015), 112-117.
16.
LiuX.X., CaoY., ZouX.Y. and ZhangJ., An improved ant colony optimization algorithm for multi-object routing in wireless sensor networks, Chinese Journal of Huazhong Univ of Sci & Tech35 (2007), 24-27.
17.
LiL.Z., ZhengH.Y. and DingQ.L., An anycast routing based on improved ant colony algorithm, Chinese Journal of Electronics & Information Technology29 (2007), 340-344.
18.
YueF. and LiuX.Y., Converse ant algorithm basis of adjust information element hangover coefficient, Chinese Journal of Computer Engineering and Applications44 (2008), 105-107.
19.
ShenB., HuZ.G. and LiuY.L., Performance comparison and analysis of gateway discovery protocols of Internet connectivity for ad hoc networks, Journal of Wuhan Inst Tech29 (2007), 66-70.
