Abstract
The sensor nodes in ad-hoc wireless sensor networks (AWSN) are battery powered which is one of the limiting factors in their performance. However, seamless and longer duration connectivity depends upon the lifetime of individual sensor nodes. Selection of the routing protocol and quantum of power the sensor node must use for transmission are the critical design issues. The present research work involves the evaluation of ad-hoc on-demand multipath distance vector (AOMDV) routing protocol on a designed AWSN network scenario involving configuration of 25, 50 and 75 nodes. In order to conserve the energy, the optimum power required for transmission by the sensor nodes for efficient and seamless working has been obtained. The parameters selected for evaluation are packet delivery fraction (PDF), normalized routing load (NRL) and average energy consumption (AEC) per node as performance metrics using random waypoint mobility model (RWMM) and constant bit rate (CBR) as traffic application. The optimum performance has been obtained for a maximum number of nodes with a transmitted power level of 2.5 dBm by the sensor nodes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
K. Mor, S. Kumar, D. Sharma, Ad-hoc wireless sensor network based on IEEE 802.15.4 theoretical review. Int. J. Comput. Sci. Eng. 6(3), 220–225 (2018). https://doi.org/10.26438/ijcse/v6i3.220225
S. Kumar, S. Kumar, Analysis of SEAHN demand distance vector in wireless mobile ad-hoc network. Int. J. Enhanced Res. Sci. Tech. Eng. 4(7), 273–281 (2015)
S. Kaushik, S. Kumar, Intrusion detection in homogenous and heterogeneous wireless sensor networks. Int. J. Emerging Trends Tech. Comput. Sci. (IJETTCS) 2(3), 225–232 (2013)
L.K. Ketshabetswe, A.M. Zungeru, M. Mangwala, J.M. Chuma, B. Sigweni, Communication protocols for wireless sensor networks: a survey and comparison. Heliyon 5(5), e01591 (2019). https://doi.org/10.1016/j.heliyon.2019.e01591
F. Fanian, M.K. Rafsanjani, Cluster-based routing protocols in wireless sensor networks: a survey based on methodology. J. Netw. Comput. Appl. 142, 111–142 (2019). https://doi.org/10.1016/j.jnca.2019.04.021
R. Sharma, M. Sohi, N. Mittal, Zone-based energy efficient routing protocols for wireless sensor networks. Scalable Comput. Pract. Exp. 20(1), 55–70 (2019). 10.12694/scpe.v20i1.1432
M.D. Sharif Hossen, M.S. Rahim, Analysis of delay-tolerant routing protocols using the impact of mobility models. Scalable Comput. Pract. Exp. 20(1), 17–26 (2019). https://doi.org/10.12694/scpe.v20i1.1450
A. Capone, Y. Li, M. Pióro, D. Yuan, Minimizing end-to-end delay in multi-hop wireless networks with optimized transmission scheduling. Ad Hoc Netw. 89, 236–248 (2019). https://doi.org/10.1016/j.adhoc.2019.01.004
K. Mor, S. Kumar, Evaluation of QoS metrics in ad-hoc wireless sensor networks using zigbee. Int. J. Comput. Sci. Eng. 6(3), 92–96 (2018). https://doi.org/10.26438/ijcse/v6i3.9296
S. Khurana, S. Kumar, D. Sharma, Performance evaluation of congestion control in MANETs using AODV, DSR and ZRP protocols. Int. J. Adv. Res. Comput. Sci. Softw. Eng. (IJARCSSE) 7(6), 398–403 (2017)
A.Z. Ghanavati, D. Lee, Optimizing the bit transmission power for link layer energy efficiency under imperfect CSI. IEEE Trans. Wireless Commun. 17(1), 29–40 (2018). https://doi.org/10.1109/twc.2017.2762301
D. Sharma, S. Kumar, A comprehensive review of routing protocols in heterogeneous wireless networks. Int. J. Enhanced Res. Manag. Comput. Appl. 4(8), 105–121 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kumar, S., Sharma, D., Payal, Mansi (2021). Evaluation of AOMDV Routing Protocol for Optimum Transmitted Power in a Designed Ad-hoc Wireless Sensor Network. In: Sharma, M.K., Dhaka, V.S., Perumal, T., Dey, N., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision. Advances in Intelligent Systems and Computing, vol 1189. Springer, Singapore. https://doi.org/10.1007/978-981-15-6067-5_13
Download citation
DOI: https://doi.org/10.1007/978-981-15-6067-5_13
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6066-8
Online ISBN: 978-981-15-6067-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)