ISSN Print: 2381-1137  ISSN Online: 2381-1145
International Journal of Wireless Communications, Networking and Mobile Computing  
Manuscript Information
 
 
A Control Mechanism Using Adaptive Router and Markovian Decision Towards Secured MANET Communication
International Journal of Wireless Communications, Networking and Mobile Computing
Vol.4 , No. 4, Publication Date: Nov. 16, 2017, Page: 31-37
2288 Views Since November 16, 2017, 555 Downloads Since Nov. 16, 2017
 
 
Authors
 
[1]    

Renuka Mohanraj, Department of Computer Science, Maharishi University of Management, Fairfield, Iowa, USA.

[2]    

Steven Nolle, Department of Computer Science, Maharishi University of Management, Fairfield, Iowa, USA.

 
Abstract
 

Secured Mobile Ad-hoc Network has drawn the attention of research community in the last 15 years. In the context of Mobile Ad hoc Network (MANET), we are motivated by the design of routing to provide control mechanism that avoids routing congestion and data collision. Currently MANET communication is inherently Transmission Control Protocol (TCP-based) and relies on receives window and inflexible architectural design. This imposes significant challenges into adopting new secured MANET communication to minimize data collision and routing congestion. In this paper we propose a control mechanism Adaptive Router Congestion and Markovian Decision-based Collision Control (ARC-MDCC), to ensure secured communication in MANET. We first developed the proposed Adaptive Router Congestion Control (ARCC) model, considering a simplified network with data packet balancing using assessment control mechanism and thereby reducing the routing overhead. Second considering resultant congestion controlled path obtained through ARCC, a Markovian Decision-based Data Collision Control mechanism is applied along with fair data share rate, we adopted the designed algorithm to minimize data collision rate and therefore increase the packet delivery ratio. Analytical expressions are verified by performing series of simulation experiments. The proposed ARCC-MDCC outperforms similar secured MANET communication model found in the literature reducing the routing overhead and data collision rate by improving the packet delivery ratio in MANET.


Keywords
 

MANET, TCP-Based, Receive Window, Router Congestion, Markovian Decision


Reference
 
[01]    

Haitao Wu, Zhenqian Feng, Chuanxiong Guo and Yongguang Zhang, “ICTCP: Incast Congestion Control for TCP in Data-Center Networks,” IEEE/ACM Transactions on Networking, vol. 21, pp. 345-358, Apr. 2013.

[02]    

Taeho Jung, Xiang-Yang Li, and Meng Wan, “Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel,” IEEE Transactions on Dependable and Secure Computing, vol. 12, pp. 45-57, Jan./Feb. 2015.

[03]    

Miguel Sepulcre, Javier Gozalvez, J´erˆome H¨arri, and Hannes Hartenstein, “Contextual Communications Congestion Control for Cooperative Vehicular Networks,” IEEE Transactions on Wireless Communications, vol. 10, pp. 385-389, Feb. 2011.

[04]    

Filipe Abrantes, Joa˜o Taveira Arau´ jo, and Manuel Ricardo, “Explicit Congestion Control Algorithms for Time Varying Capacity Media,” IEEE Transactions On Mobile Computing, vol. 10, pp. 81-93, Jan 2011.

[05]    

Tsung-Han Tsai, Y-Chuang Chen and Jimmy J. M. Tan, 2016, “Optimal Edge Congestion of Exchanged Hypercubes,” IEEE Transactions on Parallel and Distributed Systems, vol. 27, pp. 250-262, Jan. 2016.

[06]    

Jayson K. Jayabarathan, Sivanantha Raja Avaninathan and Robinson Savarimuthu, “QoS enhancement in MANETs using priority aware mechanism in DSR protocol,” Springer, EURASIP Journal on Wireless Communications and Networking, pp. 1-9, Jan. 2016.

[07]    

Yaser Khamayseh, Ghadeer Obiedat and Munner Bani Yassin, “Mobility and Load aware Routing protocol for ad hoc networks,” Elsevier, Journal of King Saud University – Computer and Information Sciences, pp. 105–113, 2011.

[08]    

T. Senthilkumaran and V. Sankaranarayanan, “Dynamic congestion detection and control routing in ad hoc networks,” Elsevier, Journal of King Saud University – Computer and Information Sciences, pp. 25–34, 2013.

[09]    

T. SenthilKumaran and V. Sankaranarayanan, “Early congestion detection and adaptive routing in MANET,” Elsevier, Egyptian Informatics Journal, pp. 165–175, 2011.

[10]    

Jesus Escudero-Sahuquillo, Ernst Gunnar Gran, Pedro J. Garcia, Jose Flich, Tor Skeie, lavLysne, Francisco J. Quiles, and Jose Duato, 2015, “Efficient and Cost-Effective Hybrid Congestion Control for HPC Interconnection Networks,” IEEE Transactions on Parallel and Distributed Systems, vol. 26, pp. 107-119, Jan. 2015.

[11]    

Jung-Yoon Kim, Geetam S. Tomar, Laxmi Shrivastava, Sarita Singh Bhadauria, and Won-Hyoung Lee, “Load Balanced Congestion Adaptive Routing for Mobile Ad Hoc Networks,” Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, pp. 1-11, Jul. 2014.

[12]    

Xinhao Yang, JunchengJia, Shukui Zhang, and Ze Li, “Congestion Control Based on Consensus in the Wireless Sensor Network,” Hindawi Publishing Corporation, International Journal of Distributed Sensor Networks, pp. 1-8, Aug. 2013.

[13]    

Sungwook Kim, “Adaptive MANET Multipath Routing Algorithm Based on the Simulated Annealing Approach,” Hindawi Publishing Corporation, The Scientific World Journal, pp. 1-9, 2014.

[14]    

Renato R. Lopes and John R. Barry, “The Extended-Window Channel Estimator for Iterative Channel-and-Symbol Estimation,” EURASIP Journal on Wireless Communications and Networking, pp. 92–99, 2005.

[15]    

Jingyuan Wang, Yu Mao, Jing Li, Zhang Xiong and Wen-Xu Wang, “Predictability of Road Traffic and Congestion in Urban Areas,” PLoS ONE, vol. 10, pp. 1-12, Apr. 2015.

[16]    

Ch. Pradeep Reddy and P. Venkata Krishna, “Cross Layer Based Congestion Control in Wireless Mesh Networks,” Cybernetics and Information Technologies, vol. 14, pp. 65-80, 2014.

[17]    

Saleem Ullah, Faisal Shahzad, Shahzada Khurram and WaheedAnwer, “Improving Network Efficiency by Selecting and Modifying Congestion Control Constraints,” Communications and Network, 2014, pp. 105-111.

[18]    

Aloizio P. Silvaa, Scott Burleighc, Celso M. Hirataa, and Katia Obraczkab, “A Survey on Congestion Control for Delay and Disruption Tolerant Networks,” Elsevier Ad Hoc Networks, 2014, pp. 1–17.

[19]    

Bernardo Monechi, Vito D. P. Servedio and Vittorio Loreto, “Congestion Transition in Air Traffic Networks,” PLoS ONE, vol. 10, no. 5, pp. 1-15, May 2015.

[20]    

Tom van Woensel and Frederico R. B. Cruz, “Optimal Routing in General Finite Multi- Server Queueing Networks,” PLoS ONE, vol. 10, no. 7, pp. 1-15, Jul. 2014.

[21]    

Gulnur Selda Uyanik and Sema Oktug, “Cognitive Channel Selection and Scheduling for Multi-Channel Dynamic Spectrum Access Networks Considering QoS Levels”, Ad Hoc Networks, Elsevier, Apr. 2017.

[22]    

J. Roselin, P. Latha and S. Benitta, “Maximizing the Wireless Sensor Networks Lifetime through Energy Efficient Connected Coverage”, Ad Hoc Networks, Elsevier, Feb. 2017.

[23]    

Jangirala Srinivas, Sourav Mukhopadhyay and Dheerendra Mishra, “Secure and Efficient User Authentication Scheme for Multi-gateway Wireless Sensor Networks”, Ad Hoc Networks, Elsevier, Nov. 2016.

[24]    

Nabil Mesbahi and Hamza Dahmouni,” Analytical framework for the characterization of the link properties in multi-hop mobile wireless networks”, Ad Hoc Networks, Elsevier, Sep. 2016.

[25]    

Jingyu Feng, Xu Du, Guanghua Zhang, Wei Shi,” Securing Multi-channel Selection using Distributed Trust in Cognitive Radio Ad hoc Networks”, Ad Hoc Networks, Elsevier, Mar 2017.





 
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