Total energy consumption analysis in wireless Mobile ad hoc network with varying mobile nodes

Mohammed Ayad Saad

Abstract


The energy protocols that have a mechanisms of shortest path routing considered predominant in the networking scenarios. The interesting matter in the routing protocols designing deal with mobile ad hoc network (MANET) must have an energy efficient network for better network performances. The Performances of such routing protocols that can be assessed will be focused on many metrics like delay, throughput, and packet delivery.  MANET is a distribution network, having no infrastructure and network decentralization. There routing protocols are utilized for detecting paths among mobile nodes to simplify network communication. The performance comparison of three protocols are Optimized Link State Routing (OLSR), the second is Ad hoc On-Demand Distance Vector (AODV), while the third is Dynamic Source Routing (DSR) routing protocols concerning to average energy consumption and mobile node numbers are described thoroughly by NS-3 simulator.  The nodes number is changing between 10 and 25 nodes, with various mobility models. The performance analysis shows that the suggested protocols are superior in relations to the energy consumption for networking data transmission and the performance of the wireless network can be improved greatly.

Keywords


Ad-hoc networks Mesh networks NS-3 wireless network Energy consumption

References


R. Kumawat, “Comparative Study of On-demand Routing Protocols for Mobile Ad-hoc Network,” vol. 27, no. 10, pp. 6–11, 2011.

Y. H. Robinson, E. G. Julie, K. Saravanan, and R. Kumar, “FD-AOMDV: Fault-tolerant disjoint ad-hoc on-demand multipath distance vector routing algorithm in mobile ad-hoc networks,” J. Ambient Intell. Humaniz. Comput., pp. 1–18, 2019.

L. Anchora, A. Capone, V. Mighali, L. Patrono, and F. Simone, “Ad Hoc Networks A novel MAC scheduler to minimize the energy consumption in a Wireless Sensor Network,” Ad Hoc Networks, vol. 16, pp. 88–104, 2014.

R. Anand and J. Mungara, “Wireless Environment Aware Adaptive Scheduling Technique for Cellular Networks,” Indones. J. Electr. Eng. Comput. Sci., vol. 11, no. 1, pp. 318–332, 2018.

G. Chen, J. P. Coon, and S. E. Tajbakhsh, “Secure routing for multihop ad hoc networks with inhomogeneous eavesdropper clusters,” IEEE Trans. Veh. Technol., vol. 67, no. 11, pp. 10660–10670, 2018.

J. Vazifehdan, R. V. Prasad, and I. Niemegeers, “Energy-Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks,” vol. 13, no. 2, pp. 434–447, 2014.

H. N. Saad, F. Jafar, and H. A. Salman, “A new compression technique in MANET : compressed-LZW algorithm,” Indones. J. Electr. Eng. Comput. Sci., vol. 16, no. 2, pp. 890–896, 2019.

A. Ambekar and H. D. Schotten, “Enhancing channel reciprocity for effective key management in wireless ad-hoc networks,” in 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014, pp. 1–5.

L. A. Khalil, A. Dulaimi, R. B. Ahmad, N. Yaakob, S. Nor, and W. Shamsuddin, “Behavioral and performance jellyfish attack,” Indones. J. Electr. Eng. Comput. Sci., vol. 13, no. 2, pp. 683–688, 2019.

C.-C. Chang and H.-D. Le, “A provably secure, efficient, and flexible authentication scheme for ad hoc wireless sensor networks,” IEEE Trans. Wirel. Commun., vol. 15, no. 1, pp. 357–366, 2015.

D. Jiang, Z. Xu, and Z. Lv, “A multicast delivery approach with minimum energy consumption for wireless multi-hop networks,” Telecommun. Syst., 2015.

J. Leu, T. Chiang, M. Yu, and K. Su, “Energy Efficient Clustering Scheme for Prolonging the,” vol. 7798, no. c, pp. 2012–2015, 2014.

Y. Neeraja and V. Sumalatha, “Collision-aware cooperative MAC protocol design for mobile ad-hoc networks,” Indones. J. Electr. Eng. Comput. Sci., vol. 14, no. 1, pp. 455–461, 2019.

M. Hadded, P. Muhlethaler, A. Laouiti, and L. A. Saidane, “A novel angle-based clustering algorithm for vehicular ad hoc networks,” in Vehicular Ad-Hoc Networks for Smart Cities, Springer, 2017, pp. 27–38.

T.-X. Zheng, Q. Yang, Y. Zhang, H.-M. Wang, and P. Mu, “Secure transmissions in wireless ad hoc networks using hybrid half and full duplex receivers,” in 2017 IEEE International Conference on Communications (ICC), 2017, pp. 1–6.

D. Qin and Z. Ding, “Transport capacity analysis of wireless in-band full duplex ad hoc networks,” IEEE Trans. Commun., vol. 65, no. 3, pp. 1303–1318, 2016.

C. Dong, Y. Qu, H. Dai, S. Guo, and Q. Wu, “Multicast in multi-channel cognitive radio ad hoc networks: Challenges and research aspects,” Comput. Commun., 2018.

C. Science, S. Laqtib, K. El Yassini, M. L. Hasnaoui, and A. Info, “Link-state QoS routing protocol under various mobility models,” Indones. J. Electr. Eng. Comput. Sci., vol. 16, no. 2, pp. 906–916, 2019.

J. Hou and M. Shikh-Bahaei, “Transmission Capacity of Full-Duplex MIMO Ad-Hoc Network with Limited Self-Interference Cancellation,” in 2018 IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1–7.

N. B. Gayathri, G. Thumbur, P. V. Reddy, and Z. U. R. Muhammad, “Efficient pairing-free certificateless authentication scheme with batch verification for vehicular ad-hoc networks,” IEEE Access, vol. 6, pp. 31808–31819, 2018.

Z. He, S. Mao, and T. T. S. Rappaport, “On link scheduling under blockage and interference in 60-GHz ad hoc networks,” IEEE Access, vol. 3, pp. 1437–1449, 2015.

L. A. Khalil, A. Dulaimi, R. B. Ahmad, N. Yaakob, and M. H. Yusoff, “Wireless Environment Aware Adaptive Scheduling Technique for Cellular Networks,” Indones. J. Electr. Eng. Comput. Sci., vol. 13, no. 2, pp. 677–682, 2019.

K. Lin, D. Wang, L. Hu, M. S. Hossain, and G. Muhammad, “Virtualized QoS-Driven Spectrum Allocation in Space-Terrestrial Integrated Networks,” IEEE Netw., vol. 33, no. 1, pp. 58–63, 2019.

A. Kakkar, M. Singh, and A. Kakkar, “Robust authenticated encryption scheme with multiple keys for ad hoc networks,” Indones. J. Electr. Eng. Comput. Sci. Vol., vol. 15, no. 1, pp. 421–426, 2019.




DOI: http://doi.org/10.11591/ijeecs.v21.i1.pp%25p
Total views : 34 times

Refbacks



Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

shopify stats IJEECS visitor statistics