Forward Stepwise Regression Based Load Balanced Energy Efficient Routing in MANET

References

[1] N.S.Saba Farheen, Anuj Jain, “Improved routing in MANET with optimized multi path routing fine tuned with hybrid modeling”, Journal of King Saud University - Computer and Information Sciences, Elsevier, 2020, Pages 1-8

[2] Valmik Tilwari, R. Maheswar, P. Jayarajan, T. V. P. Sundararajan, MHD Nour Hindia, Kaharudin Dimyati, Henry Ojukwu & Iraj Sadegh Amiri, “MCLMR: A Multicriteria Based Multipath Routing in the Mobile Ad Hoc Networks”, Wireless Personal Communications, Springer, Volume 112, 2020, Pages 2461–2483

[3] M. Rajashanthi and K. Valarmathi, “Energy-efficient multipath routing in networking aid of clustering with OGFSO algorithm”, Soft Computing, Springer, Volume 24, 2020, Pages 12845–12854

[4] Peng Li, Lu Guo and Fang Wang, “A Multipath Routing Protocol with Load Balancing and Energy Constraining Based on AOMDV in Ad Hoc Network”, Mobile Networks and Applications, Springer, 2019, Pages 1-10

[5] Nagendar Yamsani, Bura Vijay Kumar, Srinivas Aluvala, Mahesh Dandugudum, G. Sunil Reddy, “An Improved Load Balancing in MANET Using on-Demand Multipath Routing Protocol”, International Journal of Engineering &Technology, Volume 7, 2018, Pages 222-225

[6] Tongguang Zhang, Shuai Zhao, Bo Cheng, “Multipath Routing MPTCP-Based Data Delivery Over Manets” IEEE Access, Volume 8, 2020, Pages 32652 – 32673

[7] Arockiasamy Karmel, Varadarajan Vijayakumar & Radhakrishnan Kapilan, “Ant-based efficient energy and balanced load routing approach for optimal path convergence in MANET”, Wireless Networks, 2019, Pages 1-13

[8] Santosh Kumar Das, Sachin Tripathi, “Intelligent energy-aware efficient routing for MANET”, Wireless Networks, Springer, Volume 24, Issue 4, May 2018, Pages 1139–1159

[9] Valmik Tilwari, Kaharudin Dimyati, MHD Nour Hindia, Anas Fattouh, and Iraj Sadegh Amiri, “Mobility, Residual Energy, and Link Quality Aware Multipath Routing in MANETs with Q-learning Algorithm”, Applied Science, Volume 9, 2019, Pages 1-23

[10] Mohammed Ahmed Jubair, Salama A. Mostafa, Ravie Chandren Muniyandi, Hairulnizam Mahdin, Aida Mustapha, Mustafa Hamid Hassan, Moamin A. Mahmoud, Yasir Amer Al-Jawhar, Ahmed Salih Al-Khaleefa, and Ahmed Jubair Mahmood, “Bat Optimized Link State Routing Protocol for Energy-Aware Mobile Ad-Hoc Networks, Symmetry, Volume 11, 2019, Pages 1-22

[11] Sheng Hao, Huyin Zhang & Mengkai Song, “A Stable and Energy-Efficient Routing Algorithm Based on Learning Automata Theory for MANET”, Journal of Communications and Information, Springer, Volume 3, 2018, Pages 52-66

[12] Daeho Kang, Hyung-Sin Kim, Changhee Joo, and Saewoong Bahk, “ORGMA: Reliable Opportunistic Routing with Gradient Forwarding for MANETs”, Computer Networks, Elsevier, Volume 131, February 2018, Pages 52-64

[13] V.R.Kavitha and M.Moorthi, “A quality of service load balanced connected dominating set–stochastic diffusion search (CDS–SDS) network backbone for MANET”, Computer Networks, Elsevier, Volume 151, 2019, Pages 124-131

[14] J. Deepa and J. Sutha, “A new energy-based power-aware routing method for MANETs”, Cluster Computing, Springer, Volume 22, 2019, Pages 13317-13324

[15] K. Anish Pon Yamini, K.Suthendran, T.Arivoli, “Enhancement of energy efficiency using a transition state mac protocol for MANET”, Computer Networks, Elsevier, Volume 155, 2019, Pages 110-118

[16] L. Femila and M. Marsaline Beno, “Optimizing Transmission Power and Energy Efficient Routing Protocol in MANETs”, Wireless Personal Communications, Springer, Volume 106, 2019, Pages 1041-1056

[17] Dhananjay Bisen & Sanjeev Sharma, “An Energy-Efficient Routing Approach for Performance Enhancement of MANET through Adaptive Neuro-Fuzzy Inference System”, International Journal of Fuzzy Systems, Springer, Volume 20, 2018, Pages 2693-2708

[18] Jaspreet Singh, C. S. Rai, “An efficient load balancing method for ad hoc networks”, International Journal of communication system, Wiley, Volume 31, Issue 5, 2018, Pages 1-25

[19] Hany Ramadan, Ben Bella S. Tawfik, Alaa El Din M. Riad, “Energy aware routing algorithm in MANET using linear programming”, Computer Systems Science and Engineering, Volume 33, Issue 6, Pages 421-428

[20] Ibrahim Kacem, Belkacem Sait, Saad Mekhilef, Nassereddine Sabeur, “A New Routing Approach for Mobile Ad Hoc Systems Based on Fuzzy Petri Nets and Ant System”, IEEE Access, Volume 6, 2018, Pages 65705 – 65720

@article{1703667,
      author = {R. Navamani, Dr. N. Elamathi},
      title = {Forward Stepwise Regression Based Load Balanced Energy Efficient Routing in MANET},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {1},
      pages = {415-426},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703667.pdf},
      abstract = {Mobile Ad hoc Network (MANET) is a network architecture distributed without any fixed infrastructure. Network nodes communicate with each other without any static infrastructure. The transmission range of the node is limited to the region around the node. Therefore, load-balanced routing is one of the key challenges for effective communication. A novel technique called Forward Stepwise Regression-based Load Balanced Energy Efficient Routing (FSR-LBEER) technique is introduced in MANET. The main objective of the FSR-LBEER technique is to perform efficient routing with minimum energy consumption and routing overhead. Initially, the number of mobile nodes are taken and combined to form the whole network. For each mobile node in the network, residual energy, distance, and bandwidth is estimated for constructing the route paths. Forward Node Selective Stepwise Regression is applied to select the neighboring node with higher residual energy, minimum distance, and lesser bandwidth utilization. The process gets repeated until it identifies the suitable neighboring mobile nodes between source and destination. Then the route path discovery is carried out using two control messages namely route request and route reply. In this way, multiple route paths are established in the mobile network for data transmission. During the data transmission process any link failure occurs, the stable alternate path is chosen from the available paths based on the better link connectivity and the data packets get transmitted to the destination node. In this way, the load-balanced routing gets achieved.  Experimental evaluation of the FSR-LBEER technique is carried out on factors such as energy consumption, packet delivery ratio, packet loss rate, delay, and routing overhead with respect to the number of mobile nodes and data packets. The observed results from the simulation show that the FSR-LBEER technique efficiently increases the data packet delivery and minimizes the energy consumption, packet loss rate, delay, and routing overhead than the conventional routing techniques.},
      keywords = {MANET, Load balanced routing, Forward Node Selective Stepwise Regression, route discovery, route maintenance},
      month = {July},
  }