journal article·2021Open access

Energy Efficient Clustering Protocol to Enhance Network Lifetime in Wireless Sensor Networks

S. Nanthini, S. Nithya Kalyani, Sudhakar Sengan

Computers, Materials & Continua· Volume 68· Issue 3

Abstract

In this paper, the energy conservation in the ununiform clustered network field is proposed. The fundamental reason behind the methodology is that in the process of CH election, nodes Competition Radius (CR) task is based on not just the space between nodes and their Residual Energy (RE), which is utilized in Energy-Aware Distributed Unequal Clustering (EADUC) protocol but also a third-degree factor, i.e., the nearby multi-hop node count. In contrast, a third-factor nearby nodes count is also used. This surrounding data is taken into account in the clustering feature to increase the network’s life span. The proposed method, known as Energy Conscious Scattered Asymmetric Clustering (ECSAC), self-controls the nodes’ energy utilization for equal allotment and un-equal delivery. Besides, extra attention is agreed to energy consumption in the communication process by applying a timeslot-based backtracking algorithm for increasing the network’s lifetime. The proposed methodology reduces the clustering overhead and node communication energy consumption to extend the network’s lifetime. Our suggested method’s results are investigated against the classical techniques using the lifetime of the network, RE, alive hop count and energy consumption during transmission as the performance metric.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Energy Efficient Wireless Sensor Networks · Security in Wireless Sensor Networks · IoT-based Smart Home Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (39)

Show source-provided references
1. ECDC: An energy and coverage-aware distributed clustering protocol for wireless sensor networks10.1016/j.compeleceng.2013.08.003 ↗
2. Energy-efficient clustering protocol to enhance performance of heterogeneous wireless sensor network: EECPEP-HWSN10.1155/2018/2078627 ↗
3. Coverage protocols for wireless sensor networks: Review and future directions10.1109/JCN.2019.000005 ↗
4. Investigation of energy-efficient sensor node placement in railway systems10.1016/j.jestch.2015.10.009 ↗
5. Tracing of shading effect on underachieving SPV cell of an SPV grid using wireless sensor network10.1016/j.jestch.2015.03.008 ↗
6. Research on the energy hole problem based on unequal cluster-radius for wireless sensor networks10.1016/j.comcom.2009.09.008 ↗
7. Avoidance of energy hole problem based on a feedback mechanism for heterogeneous sensor networks10.1177/1550147717713625 ↗
8. Distance-based thresholds for cluster head selection in wireless sensor networks10.1109/LCOMM.2012.073112.120450 ↗
9. A heterogeneous energy wireless sensor network clustering protocol10.1155/2019/7367281 ↗
10. Wireless sensor networks: To cluster or not to cluster?
11. Clustering in wireless sensor networks (WSNs)
12. Energy-efficient communication protocol for wireless microsensor networks
13. Energy-efficient selection of cluster headers in wireless sensor networks10.1177/1550147718764642 ↗
14. An energy-efficient cluster-based routing algorithm for wireless sensors networks
15. HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks10.1109/TMC.2004.41 ↗
16. Energy-efficient is relaying in wireless networks10.1016/j.aeue.2008.04.013 ↗
17. Energy-efficient power allocation and relay selection schemes for relay-assisted D2D communications in 5G wireless networks10.3390/s18092865 ↗
18. Energy efficiency trade-off between duty-cycling and wake-up radio techniques in IoT Networks10.1007/s11277-019-06368-0 ↗
19. Survey and taxonomy of duty cycling mechanisms in wireless sensor networks10.1109/SURV.2013.052213.00116 ↗
20. Data capacity improvement of wireless sensor networks using non-uniform sensor distribution10.1080/15501320500201276 ↗
21. Avoiding energy holes in wireless sensor networks with non-uniform node distribution10.1109/TPDS.2007.70770 ↗
22. Energy-aware scalable reliable and void-hole mitigation routing for sparsely deployed underwater acoustic networks10.3390/app10010177 ↗
23. A tree-cluster based data gathering algorithm for industrial WSNs with a mobile sink10.1109/ACCESS.2015.2424452 ↗
24. Traffic-differentiation- based modular QoS localized routing for wireless sensor networks10.1109/TMC.2010.212 ↗
25. A genetic approach to joint routing and link scheduling for wireless mesh networks10.1016/j.adhoc.2008.04.005 ↗
26. A Genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model10.1016/j.adhoc.2014.11.020 ↗
27. Lifetime-aware scheduling and power control for M2M communications in LTE networks
28. Prolonging the lifetime of large scale wireless sensor networks via base station placement
29. Low complexity multi-layer optimization for multi-hop wireless networks
30. Backpacking: Energy-efficient deployment of heterogeneous radios in multi-radio high-data-rate wireless sensor networks10.1109/ACCESS.2014.2364234 ↗
31. Achieving source location privacy and network lifetime maximization through tree-based diversionary routing in wireless sensor networks10.1109/ACCESS.2014.2332817 ↗
32. An energy-driven unequal clustering protocol for heterogeneous wireless sensor networks10.1007/s11768-011-0232-y ↗
33. An unequally clustered multihop routing protocol for wireless sensor networks
34. Clustering in sensor networks: A literature survey10.1016/j.jnca.2014.09.005 ↗
35. HEED: A hybrid, energy-efficient, distributed clustering approach for Ad hoc sensor networks10.1109/TMC.2004.41 ↗
36. An energy-efficient distributed clustering algorithm for wireless sensor networks
37. Prolonging the lifetime of wireless sensor networks via unequal clustering
38. An energy-efficient unequal clustering mechanism for wireless sensor networks
39. Energy-efficient clustering with reliable and load-balanced multipath routing for WSNs