ACOHC: Ant colony optimization based hierarchical clustering in wireless sensor network

Mondal, Sanjoy; Ghosh, Swaroop; Biswas, Utpal

doi:10.1109/icett.2016.7873737

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…In addition, we tested the statistical significance of the number of alive nodes (NOA) by using two-tailed T.TEST to draw a statistical inference as defined by [ 39 , 40 ]. A large sample consisting of pair of (NOA) in the proposed EEUCB protocol with other protocols such as LEACH, FLEACH, EEFUC, and UDCH are taken over different rounds behave like a normal co-related variable.…”

Section: Simulation Setup and Resultsmentioning

confidence: 99%

Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB)

Jasim

Idris

Azzuhri

et al. 2021

Sensors

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A hot spot problem is a problem where cluster nodes near to the base station (BS) tend to drain their energy much faster than other nodes due to the need to perform more communication. Unequal clustering methods such as unequal clustering routing (UDCH) and energy-efficient fuzzy logic for unequal clustering (EEFUC) have been proposed to address this problem. However, these methods only concentrate on utilizing residual energy and the distance of sensor nodes to the base station, while limited attention is given to enhancing the data transmission process. Therefore, this paper proposes an energy-efficient unequal clustering scheme based on a balanced energy method (EEUCB) that utilizes minimum and maximum distance to reduce energy wastage. Apart from that, the proposed EEUCB also utilizes the maximum capacity of node energy and double cluster head technique with a sleep-awake mechanism. Furthermore, EEUCB has devised a clustering rotation strategy based on two sub-phases, namely intra- and inter-clustering techniques, that considers the average energy threshold, average distance threshold, and BS layering node. The performance of the proposed EEUCB protocol is then compared with various prior techniques. From the result, it can be observed that the proposed EEUCB protocol shows lifetime improvements of 57.75%, 19.63%, 14.7%, and 13.06% against low-energy adaptive clustering hierarchy (LEACH), factor-based LEACH FLEACH, EEFUC, and UDCH, respectively.

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Section: Simulation Setup and Resultsmentioning

confidence: 99%

Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB)

Jasim

Idris

Azzuhri

et al. 2021

Sensors

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show abstract

“…Mondal et al 14 Ezhilarasi and Krishnaveni 15 introduced an efficient energy routing protocol for WSN called (EMEER). The algorithm uses the cuckoo search algorithm to form the clusters based on the similarity of the node's energy levels.…”

Section: Related Workmentioning

confidence: 99%

Energy‐aware intelligent hybrid routing protocol for wireless sensor networks

Ibrahim

Ahmed

2021

Concurrency and Computation

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Designing a wireless sensor network (WSN) energy-aware routing protocol is a thought-provoking mission. Thus, this article presents an energy-saving routing protocol for WSNs. The proposed protocol considers the energy level of sensor nodes and the distance to the base station to optimally determine the best route. It also takes advantage of the inherent complementarity of clustering techniques. The proposed routing scheme also exploits data aggregation to improve energy utilization and reduce communication costs. To choose the flawless route between a source node and the base station, ant colony optimization and A* algorithms are integrated. Finally, the performance of the proposed routing technique is compared with those of other existing up-to-date protocols. The results show that the proposed routing protocol outperforms them in terms of total energy consumption, network lifetime, stability period, and goodput.

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A Comprehensive Survey of Intelligent-Based Hierarchical Routing Protocols for Wireless Sensor Networks

Sabor

Abo‐Zahhad

2020

Springer Tracts in Nature-Inspired Computing

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ACOHC: Ant colony optimization based hierarchical clustering in wireless sensor network

Cited by 11 publications

References 18 publications

Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB)

Energy-Efficient Wireless Sensor Network with an Unequal Clustering Protocol Based on a Balanced Energy Method (EEUCB)

Energy‐aware intelligent hybrid routing protocol for wireless sensor networks

A Comprehensive Survey of Intelligent-Based Hierarchical Routing Protocols for Wireless Sensor Networks

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