Energy Management in Wireless Sensor Networks for Internet of Things Applications

Keywords: Shortest energy path, Energy map, Cluster region, Multi-hop routing

Abstract

Internet of things (IoT) aims to develop a smart world based on sensing environment. The energy management of wireless sensor networks (WSNs) is a big challenge in IoT since sensor nodes have limited energy and they need to have long life for collecting data and information. The aim of this paper is to propose an efficient energy routing algorithm in WSN and infrastructure based on construction an adaptive energy map of sensor nodes. The results show improvement in overall system performance and lifetime of WSN compared to traditional scenario.

Downloads

Download data is not yet available.

References

X. Gu, X. Zhou and Y. Sun. “A data-gathering scheme with joint routing and compressive sensing based on modified diffusion wavelets in wireless sensor networks”. Sensors, vol. 18, pp. 724, 2018.

W. Ejaz, M. Naeem, A. Shahid, A. Anpalagan and M. Jo. “Efficient Energy Management for the Internet of Things in Smart Cities”. IEEE Communications Magazine, January 2017.

M. K. Khan, M. Shiraz, K. Z. Ghafoor, S. Khan, A. S. Sadiq and G. Ahmed. “EE-MRP: Energy-efficient multistage routing protocol for wireless sensor networks”. Wireless Communications and Mobile Computing, vol. 2018, p. 6839671, 2018.

Y. Lu, X. Liu and M. Li. “Study on energy-saving routing algorithm based on wireless sensor network”. Journal of Computers, vol. 28, no. 4, pp. 227-235, 2017.

J. A. Khan, H. K. Qureshi and A. Iqbal. “Energy management in wireless sensor networks: A survey”. Computers and Electrical Engineering, vol. 41, pp. 159-176, 2015.

A. Salim and W. Osamy. “Distributed multi chain compressive sensing based routing algorithm for wirelesssensor networks”. Wireless Networks, vol. 21, pp. 1379-1390, 2015.

W. R. Heinzelman, A. Chandrakasan and H. Balakrishnan. “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”. In: Proceedings of the 33rd Annual Hawaii International Conference on System Siences (HICSS ’00). IEEE, vol. 2, 2000.

V. Biradar, S. R. Sawant, R. R. Mudholkar and V. C. Patil. “Multihop routing in self-organizing wireless sensor networks”. International Journal of Computer Science Issues, vol. 8, no. 1, pp. 155-164, 2011.

D. Mahmood, N. Javaid, S. Mahmood, S. Qureshi, A. M. Memon and T. Zaman. “MODLEACH: A Variant of LEACH for WSNs”. In: Proceedings of the IEEE 8th International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA ’13). Compeigne, France, pp. 158-163, 2013.

S. V. Kumar and A. Pal. “Assisted-Leach (A-Leach) energy efficient routing protocol for wireless sensor networks”. International Journal of Computer and Communication Engineering, vol. 2, no. 4, pp. 420-424, 2013.

Z. A. Khan and S. Sampalli. “AZR-LEACH: An energy efficient routing protocol for wireless sensor networks”. International Journal of Communications, Network and System Sciences, vol. 5, no. 11, pp. 785-795, 2012.

S. Shi, X. Liu and X. Gu. “An Energy-Efficiency Optimized LEACH-C for Wireless Sensor Networks”. In: Proceedings of the 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM ’12), pp. 487-492, 2012.

P. Chauhan, A. Negi and T, Kumar. “Power optimization using proposed Dijkstra’s algorithm in wireless sensor networks”. International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 7, pp. 326-330, 2015.

A. Boualem, Y. Dahmani, A. Maatoug and C. De-runz. “Area Coverage Optimization in Wireless Sensor Network by Semirandom Deployment”. In: Proceedings of the 7th International Conference on Sensor Networks (SENSORNETS), pp. 85-90, 2018.

L. Parungao, F. Hein and W. Lim. “Dijkstra algorithm based intelligent path planning with topological map and wireless communication”. ARPN Journal of Engineering and Applied Sciences, vol. 13, no. 8, pp. 2753-2763, 2018.

L. M. Rodrigues, C. Montez, G. Budke, F. Vasques and P. Portugal. “Estimating the lifetime of wireless sensor network nodes through the use of embedded analytical battery models”. Journal of Sensor and Actuator Networks, vol. 6, no. 2, p. 8, 2017.

Published
2019-08-20
How to Cite
Ismail, R., Ismae, S., & Ali, W. (2019). Energy Management in Wireless Sensor Networks for Internet of Things Applications. Cihan University-Erbil Scientific Journal, 3(2), 48-52. https://doi.org/10.24086/cuesj.v3n2y2019.pp48-52
Section
Research Article