Abstract
Due to recent advances in wireless communications technologies and its changing demand in mobile ad hoc networks, it is needed to design energy efficient network. These networks are autonomous and continuously monitored using various sensors creating IOT hub. Due to network scalability and irregular connectivity, it may face issues of limited battery power and sharing bandwidth among users. Improving packet delivery of mobile networks and with less power is always a challenging task. This paper suggests novel packet scheduling algorithm to improvise the packet delivery of network. In this paper, ad hoc networks are deployed for mobile nodes, and packets are scheduled using novel packet scheduling algorithm. Packet scheduling is done by adjusting its interarrival time using Paretos burst time parameter. This approach targets at balancing data collections of IOT networks and improves packet delivery and residual energy of network. Simulated results in NS2 are presented for mobile nodes deployed in grid scenario, and packet delivery ratio of the network is improved using proposed packet scheduling algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ang, L.-M., Seng, K. P., Zungeru, A. M., & Ijemaru, G. K. (2017). Big sensor data systems for smart cities. IEEE Internet of Things Journal, 4(5), 1259–1271.
Liu, X., Liu, Y., Liu, A., & Yang, L. (2019) Defending on-off attacks using light probing messages in smart sensors for industrial communication systems. IEEE Transactions Industrial Information, to be published. https://doi.org/10.1109/TII.2018.2836150
Feng, T.-H., Li, W. T., & Hwang, M.-S. (2015). A false data report filtering scheme in wireless sensor networks: A survey. International Journal Network Security, 17(3), 229–236.
Huang, M., Liu, A., Xiong, N. N., Wang, T., & Vasilakos, A. V. (2018). A low-latency communication scheme for mobile wireless sensor control systems. In IEEE Transactions Systems Management Cybernetics Systems, to be published. https://doi.org/10.1109/TSMC.2018.2833204
Shen, V. R. L., Shen, R.-K., & Yang, C.-Y. (2016). Cost optimization of a path protection system with partial bandwidth using petri nets. Wireless Personal Communications, 90(3), 1239–1259.
Li, T., Tian, S., Liu, A., Liu, H., & Pei, T. (2018). DDSV: optimizing delay and delivery ratio for multimedia big data collection in mobile sensing vehicles. IEEE Internet of Things Journal, 5(5).
Hu, M., Zhang, J., & Yue, G. (2010). A novel load balancing scheme for hybrid routing protocol in IEEE 802 11 mesh networks. In 3rd IEEE International Conference Broadband Networking Multimedia Technology (pp. 664–648).
Jung, W. J., Lee, J. Y., & Kim, B. C. (2014). Joint link scheduling and routing for load balancing in STDMA wireless mesh networks. International Journal Communications Networks Information Security, 6(3), 246–252.
Nguyen, L. T., Beuran, R., & Shinoda, Y. (2008). A load-aware routing metric for wireless mesh networks. IEEE Computers and Communications (ISCC), 429–435.
Chen, J., Li, Z., Liu, J., & Kuo, Y. (2011) QoS multipath routing protocol based on cross layer design for ad hoc networks. In 2011 International Conference Internet Computing Information Services (Vol 1, no. 2, pp. 261–264).
Gopalan, N. P. (2009). A QoS-based robust multipath routing protocol for mobile adhoc networks. In First Asian Himalayas International Conference Internet 2009, AH-IC.
Ktari, S., Labiod, H., & Frikha, M. (2006). Load balanced multipath routing in mobile ad hoc network. In 10th IEEE Singapore International Conference Communications Systems. ICCS 2006 (pp. 1–5).
Maleki, H., Kargahi, M., & Jabbehdari, S. (2014). RTLB-DSR: a loadbalancing DSR based QoS routing protocol in MANETs. In Proceedings 4th International Conference Computing Knowledge Engineering ICCKE 2014 (pp. 728–735).
Mallapur, S. V., Patil, S. R., Agarkhed, J. V. (2015). Multipath load balancing tech nique for congestion control in mobile ad hoc networks. In 2015 Fifth International Conference Advanced Computing Communications (pp. 204–209).
Yamaguchi, K., Nagahashi, T., Akiyama, T., Yamaguchi, T., & Matsue, H. (2016). A routing based on OLSR with traffic load balancing and QoS for Wi-Fi mesh network. In International Conference Information Networking vol. 2016–March (pp. 102–107).
Gomez, K., Riggio, R., Rasheed, T., & Chlamtac, I. (2011). On efficient airtime—based fair link scheduling in IEEE 802. 11-based wireless networks. In IEEE 22nd International Symposium Personality Indoor Mobility Radio Communications (pp. 930–934).
Javaid, N., Ahmad, A., Imran, M., Alhamed, A. A., & Guizani, M. (2016). BIETX: a new quality link metric for static wireless multi-hop networks. In 2016 International Wireless Communications Mobile Computing Conference IWCMC, (Vol 1, pp. 784–789).
Sujatha, A. D., Terdal, P., Mytri, V. D. (2012). A link quality based dispersity routing al gorithm for mobile ad hoc networks. International Journal of Computer Network and Information Security (IJCNIS). [Online] Available http://www.mecspress.org/ijcnis/ijcnis-v4-n9/v4n9-3.html
Tekaya, M., Tabbane, N., Tabbane, S., & Supérieure, E. (2010). Multipath routing with load balancing and QoS in ad hoc network. 10(8), 280–286.
Kim, J., Tomar, G. S., Shrivastava, L., Bhadauria, S. S., & Lee, W. (2014) Load balanced congestion adaptive routing for mobile ad hoc networks. (Vol. 2014).
Noorani, N., & Seno, S. A. H. (2018). Routing in VANETs based on in tersection using SDN and fog computing. In 8th International Conference on Computer and Knowledge Engineering (ICCKE 2018), October 25–26, Ferdowsi University of Mashhad.
Khoza, E., Tu, C., & Adewale Owolawi, P. (2018). An ant colony hybrid routing protocol for VANET, 6–7 December.
Lakshmi Prabha, K., & Selvan, S. (2019). Optimal energy consumption protocol to improve Qos in delay tolerant networks. In 2019 1st international Conference on Innovations in Information and Communication Technologies.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kurumbanshi, S., Rathkanthiwar, S., Patil, S. (2022). Packet Scheduling Algorithm to improvise the Packet Delivery Ratio in Mobile Ad hoc Networks. In: Gupta, D., Khanna, A., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Second Doctoral Symposium on Computational Intelligence . Advances in Intelligent Systems and Computing, vol 1374. Springer, Singapore. https://doi.org/10.1007/978-981-16-3346-1_43
Download citation
DOI: https://doi.org/10.1007/978-981-16-3346-1_43
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3345-4
Online ISBN: 978-981-16-3346-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)