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Banerjee, Pranab
- Minimum Power Consuming Algorithm to Select Relay Node of Mimo Integrated Mobile Ad Hoc Network
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, Techno India, Batanagar, Kolkata – 700141, West Bengal, IN
2 Department of Electronics and Tele Communication Engineering, Jadavpur University, Kolkata – 700032, West Bengal,, IN
3 Department of Physics, Heritage Institute of Technology, Kolkata – 700107, West Bengal, IN
1 Department of Electronics and Communication Engineering, Techno India, Batanagar, Kolkata – 700141, West Bengal, IN
2 Department of Electronics and Tele Communication Engineering, Jadavpur University, Kolkata – 700032, West Bengal,, IN
3 Department of Physics, Heritage Institute of Technology, Kolkata – 700107, West Bengal, IN
Source
Indian Journal of Science and Technology, Vol 11, No 26 (2018), Pagination: 1-8Abstract
Objectives: To design an MIMO integrated Mobile Ad Hoc Network (MANET) in an energy efficient way. As MANETs are battery operated, so energy constrained is an important factor to design this integrated network. It is very essential to develop a routing algorithm using energy awareness consideration. Methods/Statistical Analysis: A Minimum Power Consumed Routing (MPCR) algorithm is developed which is an integration of cooperative transmission process. Most of existing routing algorithm of Mobile Ad Hoc Network is based on distance and metric value, but this proposed algorithm is based on effective received power by the mobile nodes. Minimum effective power consumes minimum energy for transmission. The route selection of this algorithm is simulated in MATLAB environment and comparative study is done of this algorithm with some other existing algorithm. Findings: This algorithm selects relay node and supports short distance communication which can improve the Signal to Noise Interference Ratio (SNIR). The performance analysis of proposed routing algorithm improves Signal to Noise Interference Ratio (SNIR) resulting in better cooperative transmission. Novelty/Applications: This algorithm suitably works on any hazardous environment where structured network implementation is not possible.References
- Liu H, Jai X, Wan J, Liu X, Yao F. A distributed and efficient flooding scheme using 1-hop information in Mobile Ad Hoc Networks. IEEE Transactions on Parallel and Distributed Systems. 2007; 18(5):658–71. Crossref.
- Mohammad A, Mikki W. Energy efficient location aided routing protocol for wireless MANETs. International Journal of Computer Science and Information Security. 2009; 4(1):1–2.
- Shah S, Islam S. A survey on cooperative communication in wireless networks. International Journal of Intelligent Systems and Applications. 2014; 7(1):66–78. Crossref.
- Nosratinia A, Hedayat A. Cooperative communication in wireless networks. IEEE International Symposium on Personal Indoor and Mobile Radio Communications; 2013. p. 2275–80.
- Manickam P, Guru Baskar P, Girija M, Manimegalai D. Performance comparisons of routing protocols in Mobile Ad Hoc Networks. International Journal of Wireless and Mobile Networks. 2011; 3(1):98–106. Crossref.
- Taksande V, Kulat D. Performance comparison of DSDV, DSR, AODV protocol with IEEE 802.11MAC for chain topology for a Mobile Ad-Hoc Network using NS-2. Proceedings of the 2nd National Conference-Computing, Communication and Sensor Network (CCSN ‘11); 2011. p. 26–31.
- Doan H, Thuan D. A method for finding the appropriate number of clusters. International Arab Journal of Inform Tech. 2017; 15(3):1–8.
- Vats K, Sachdeva M, Saluja K, Rathee A. Simulation and performance analysis of OLSR routing protocol using OPNET. International Journal of Advanced Research in Computer Science and Software Engineering. 2012; 2(2):1–4.
- Karthik S, Kannan S, Valarmathi M, Arunachalam V, Ravichandran T. A performance analysis and comparison of multi-hop wireless ad-hoc network routing protocols in MANET. International Journal of Academic Research. 2012; 2(4):36–41.
- Perumal M, Dhandapani S. Modeling and simulation of a novel relay node based secure routing protocol using multiple mobile sinks for Wireless Sensor Networks. The Scientific World Journal. 2015; 495945:1–9. Crossref.
- Hosseinzadeh H, Razzazi F. An SNR unaware large margin automatic modulations classifier in variable SNR environments. International Arab Journal of Inform Tech. 2017; 15(3):1–8.
- Kaur S. Performance evaluation of hybrid routing protocols in Mobile Ad Hoc Network. International Journal of Advanced Research in Computer Science and Software Engineering. 2013; 3(9):634–40.
- Raheja. K, Maakar S. A survey on different hybrid routing protocols of MANET. International Journal of Computer Science and Information Technologies. 2014; 5(4):5512–16.
- Xu S, Wang F. Analysis and comparison of relay node selection algorithm of cooperative communication. Information Technology Journal. 2013; 12(3):434–8. Crossref.
- Zhang B, Diao X, Ding K, Yan H. A physical topology discovery method based on AFTs of down constraint. International Arab Journal of Inform Tech. 2017; 15(1):2–9.
- Hasan C, Altman E, Gorce J. Partner selection for decode– and-forward cooperative relaying: A matching theoretic approach. IEEE 24th Annual International Symposium on Personal, Indoor and Mobile Radio Communications; 2013. p. 2275–80. Crossref.
- Moraes H, Adjadpour J. Throughput-delay analysis of Mobile Ad Hoc Networks with a multi-copy relaying strategy. First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks; 2004.
- Adegoke AS, Siddle D. Investigation into vegetation effects on propagation effects on propagating radio waves. 3rd Conference on Applied Radio Systems Research and Smart Wireless Communications; 2012.
- Meng YS, Yee HL, Boon Chong Ng. Empirical near ground path loss modelling in a forest at VHF and UHF bands. 2009 IEEE Transactions on Antennas and Propagation; 2009; 57(5):1461–8. Crossref.
- Andersen JB, Rappaport TS, Yoshida S. Propagation measurements and models for wireless communications channels. IEEE Communications Magazine. 1995; 33(1):42–9. Crossref.
- Chowdhuri S, Chaudhury S, Banerjee P. Propagation analysis of hybrid model of MIMO ad hoc network and implement less propagation loss algorithm to find the minimum loss route. International Journal of Information and Communication Technology. 2016; 10(1):66–80. Crossref.
- Torrieri D, Valenti M. The outage probability of a finite ad hoc network in Nagagami fading. IEEE Communication Society. 2012; 1207.711:1–9.