Abstract
In this paper, an advanced distributed energy-efficient clustering (ADEEC) protocol was proposed with the aim of balancing energy consumption across the nodes to achieve longer network lifetime for In-Vehicle Wireless Sensor Networks (IVWSNs). The algorithm changes the cluster head selection probability based on residual energy and location distribution of nodes. Then node associate with the cluster head with least communication cost and high residual energy. Simulation results show that ADEEC achieves longer stability period, network lifetime, and throughput than the other classical clustering algorithms.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Yun, D.S., Lee, S.J., Kim, D.A.: A study on the architecture of the in-vehicle wireless sensor network system. In: International Conference on Connected Vehicles and Expo, vol. 4, pp. 153–162. IEEE (2013)
Ahmad, A., Javaid, N., Khan, Z.A., Qasim, U., Alghamdi, T.A.: Routing scheme to maximize lifetime and throughput of wireless sensor networks. IEEE Sens. J. 14(10), 3516–3532 (2014)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An application specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1, 660–670 (2002)
Reddy, A.D.G., Ramkumar, B.: Simulation studies on ZigBee network for in-vehicle wireless communications. In: International Conference on Computer Communication and Informatics, pp. 1–6. IEEE (2014)
Hillman, A.P.: On the potential of bluetooth low energy technology for vehicular applications. IEEE Commun. Mag. 53(1), 267–275 (2015)
Bas, C.U., Ergen, S.C.: Ultra-wideband channel model for intra-vehicular wireless sensor networks beneath the chassis: from statistical model to simulations. IEEE Trans. Veh. Technol. 62(1), 14–25 (2013)
Si, W.: Integrating wireless technologies into intra-vehicular communication. Dissertations and Theses - Gradworks (2016)
Anisi, M.H., Abdullah, A.H., Coulibaly, Y., Razak, S.A.: EDR: efficient data routing in wireless sensor networks. Int. J. Ad Hoc Ubiquit. Comput. 12(1), 46–55 (2013)
Liao, Y., Qi, H., Li, W.: Load-balanced clustering algorithm with distributed self-organization for wireless sensor networks. IEEE Sens. J. 12(1), 1498–1506 (2013)
Karalar, T.C., Yamashita, S., Sheets, M., Rabaey, J.: A low power localization architecture and system for wireless sensor networks. In: IEEE Workshop on Signal Processing Systems, pp. 89–94. IEEE (2004)
Qing, L., Zhu, Q., Wang, M.: Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. J. Softw. 29(12), 2230–2237 (2006)
Javaid, N., Rasheed, M.B., Imran, M., et al.: An energy-efficient distributed clustering algorithm for heterogeneous WSNs. EURASIP J. Wirel. Commun. Netw. 2015(1), 1–11 (2015)
Kumar, R., Kaur, R., Bhardwaj, R.: DWEDDEEC: distance aware waiting based EDDEEC protocol for hetrogeneous WSNS (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, C., Zhao, Z., Zhu, L., Yao, H. (2017). An Energy Efficient Routing Protocol for In-Vehicle Wireless Sensor Networks. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_14
Download citation
DOI: https://doi.org/10.1007/978-981-10-6388-6_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6387-9
Online ISBN: 978-981-10-6388-6
eBook Packages: Computer ScienceComputer Science (R0)