Journal Articles (All Issues)

AN EFFICIENT HYBRID FRAMEWORK FOR MAXIMIZATION OF ENERGY EFFICIENCY OVER HETEROGENEOUS WIRELESS SENSOR NETWORKS

Authors

Aijaz Ahamed Sharief 1, V. K. Sharma2

Keyword RN-Rendezvous Node, RN-Region, Deployment Region, MS-Mobile Sink, CH-Cluster Head

Abstract

In wireless sensor networks, energy efficiency and optimizing energy usage play crucial roles, particularly in data transmission. Achieving a balanced distribution of energy across the network is essential to enhance the lifespan of sensor nodes and ensure data integrity during transmission. Extending the network's overall lifespan involves reducing energy consumption for long-distance transmission. The introduction of relay nodes (RN) is beneficial in facilitating data transfer from the cluster head (CH) to the main station (MS) and providing data storage capabilities. To maximize energy efficiency, the proposed protocol, known as I-EADC_RN, adopts a hybrid framework. The network area is divided into two distinct sections: the sensing region [A] and the storage region [B]. In the storage region, the nodes are known as Relay Nodes (RNs). The process of selecting Cluster Heads (CHs) involves the participation of nodes deployed in the sensing region, considering the average energy of the surrounding nodes. When the Mobile Sink (MS) approaches, the RNs transmit the data they have captured and stored to the MS. The main objective of the proposed algorithm is to optimize the network's overall lifespan by utilizing the capabilities of Relay Nodes (RNs) and Mobile Sink (MS) technologies. It effectively tackles the energy hole problem by efficiently distributing energy throughout the network. This is achieved by assigning an appropriate competition radius that ensures optimal energy utilization. Furthermore, the algorithm enhances data transmission efficiency by selecting relay nodes based on their energy expenditure during transmission and reception. By considering energy consumption, the algorithm aims to minimize the depletion of energy in subsequent relay nodes. Additionally, data loss is minimized through the utilization of data storage capabilities in the relay nodes, further enhancing the overall performance and reliability of the network.

References

    o C.Y. Chang, H.R. Chang, Energy aware node placement, topology control and MAC scheduling for wireless sensor networks, Comp. Netw. 52 (2021) 2189–2204. o J. Mao, Z. Wu, X. Wu, A TDMA scheduling scheme for many-to-one communications in wireless sensor networks, Comp. Commun. 30 (2020) 863–872,2 o P. Ayona, A. Rajesh, Investigation of energy efficient sensor node placement in railway systems, Eng. Sci. Technol. Int. J. (2018), doi:10.1016/j.jestch.2015.10.009. o V. Kaundal, A.K. Mondal, P. Sharma, K. Bansal, Tracing of shading effect on underachieving SPV cell of an SPV grid using wireless sensor network, Eng. Sci. Technol. Int. J. 18 (2018) 475–484. o V. Mhatre, C. Rosenberg, Homogeneous vs. heterogeneous clustered networks:acomparative study, Proc. IEEE, ICC 6 (2014) 3646–3651. o X. Gu, J. Yu, D. Yu, G. Wang, Y. Lv, ECDC: an energy and coverage-aware distributed clustering protocol for wireless sensor networks, Comp. Electr. Eng. 40 (2014) 384– 398. o S. Bandyopadhyay, E.J. Coyle, An energy efficient hierarchical clustering algorithm for wireless sensor networks, IEEE INFOCOM, 2013, pp. 1713–1723. o S. Soro,W.B. Heinzelman, Prolonging the lifetime of wireless sensor networks via unequal clustering. Proc. of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS), USA, 2005, doi:10.1109/IPDPS.2005.365,2018 o M. Ye, C. Li, G. Chen, J. Wu, EECS: An energy efficient clustering scheme in wireless sensor networks, IEEE International Conference on Performance, Computing, and Communications, 2015, pp. 535–540. o S. Soro, W.B. Heinzelman, CH election techniques for coverage preservation in wireless sensor networks, Ad Hoc Netw. 7 (2019) 955–972.  Dietrich, F. Dressler, On the lifetime of wireless sensor networks, ACM Trans.Sensor Netw. 5 (1) (2019) 1–38, doi:10.1145/1464420.1464425. o D. Puccinelli, M. Haenggi, Wireless sensor networks: applications and challenges of ubiquitous sensing, IEEE Circuits Syst. Mag. (2015) 19–29. o F. Xiangning, S. Yulin, Improvement on LEACH protocol of wireless sensor network. Proceedings of International Conference on Sensor Technologies and Applications (Sensor Comm), 2017,pp.260–264, doi:10.1109/SENSORCOMM.2007.4394931. o L. Qing, Q. Zhu, M. Wang, Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks, Comp. Commun. 29(2016) 2230– 2237. o Gupta, Vrinda, and Rajoo Pandey. "An improved energy aware distributed unequal clustering protocol for heterogeneous wireless sensor networks." Engineering Science and Technology, an International Journal 19.2 (2016): 1050-1058. o J. Yu, Y. Qi, G.Wang, X. Gu, A cluster-based routing protocol for wireless sensor networks with non-uniform node distribution, Int. J. Electron. Commun. 66(2012) 54–61. o J. Yu, Y. Qi, G. Wang, An energy driven unequal clustering protocol for heterogeneous wireless sensor networks, J. Control Theory Appl. 9 (1) (2011) 133–139. o J. Li, P. Mohapatra, Analytical modeling and mitigation techniques for the energy hole problem in sensor networks, Pervasive Mob. Comput. 3 (2017) 233–254. o J. Jia, X. Wu, J. Chen, X. Wang, Exploiting sensor redistribution for eliminating the energy hole problem in mobile sensor networks, Eurasip J. Wirel. Commun. Netw. 1 (2014) 1–11. o G. Ma, Z. Tao, A nonuniform sensor distribution strategy for avoiding energy holes in wireless sensor networks, Int. J. Distrib. Sens. Netw. (2015) 1–14. o S. Halder, A. Ghosal, S.D. Bit, A pre- determined node deployment strategy to prolong network lifetime in wireless sensor network, Comp. Commun. 34 (2016)1294– 1306. o L. Malathi, R.K. Gnanamurthy, K. Chandrasekaran, Energy efficient data collection through hybrid unequal clustering for wireless sensor networks, Comp. Electr.Eng. (2015) 1–13. o J. Wu, Y. Qi, G. Wang, Q. Guo, X. Gu, An energy aware distributed unequal clustering protocol for wireless sensor networks, Int. J. Distrib. Sens. Netw. (2012) doi:10.1155/2011/202145. o W.B. Heinzelman, A. Chandrakasan, H. Balakrishnan, An application-specific protocol architecture for wireless microsensor networks, IEEE Trans. Wirel. Commun. 1 (4) (2012) 660–670.

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Published

2022-08-30