Dynamic multi-hop routing protocol for unbalanced sized clusters in wireless sensor networks

Misbahuddin, Misbahuddin; Ratna, Anak Agung Putri; Sari, Riri Fitri

doi:10.1109/wpmc.2017.8301834

Cited by 1 publication

(1 citation statement)

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“…The tasks of the CHs are aggregating data from CMs and forwarding it to BS [3].In wireless sensor networks extending network lifetime plays an energetic role if the distance is high, it needs extra energy and reduction of energy consumption.Clustering in sensor nodes is very essential in order to solve many problems like energy, scalability and lifetime issues of sensor networks and having some objectives like Allows aggregation, Limits data transmission, Cluster heads and gateway nodes can form a virtual backbone for inter-cluster routing, Improve network lifetime, Minimize network traffic.The clusters can be either an equal or an unequal sized cluster. The data resemblance aware node clustering is an unequal sized clustering method mentioning in a spatial and temporal relationship [4], [5], [6].The multi-hop routing protocol and the CH located far from the BS needs to send data through the CH that is located near to the BS. Therefore, sensor nodes closer to the BS consume more energy due to heavier data forwarding jobs.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Based Zone Head Selection Algorithm for Wireless Sensor Networks

Garg¹,

Kaur²

2021

JUSST

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Hot-spots are a problem that comes in the cluster-based routing protocol that employs multi-hop communication due to this problem the energy among the sensor nodes is not balanced. The hot-spots issue requires high overhead and is prone to connectivity issues in the sensor network this can be only possible because of unequal clustering. In this method, we have to act on all the nodes of the sensor network for communication. This process consumes high system energy if the numbers of nodes are very high. To offer guaranteed connectivity, decrease high usage and complexity, a fuzzy logic-based zone divisional method has been proposed in this paper. Use fuzzy logic to create clusters and assign nodes to them to decrease the consumption of energy and the age of the network prolongation. The simulation and results section shows the outperformance of the proposed protocol, where the (LEACH) low-energy adaptive clustering hierarchy, (EAUCF) energy-aware unequal clustering fuzzy,(EAMMH) energy-aware multi-hop multi-path hierarchical, and (TTDFP) two-tier distributed fuzzy logic-based protocol for efficient data aggregation in multi-hop wireless sensor networks algorithms. The proposed algorithm has better results in terms of energy consumption minimization, and prolongation of the network lifetime.

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Section: Introductionmentioning

confidence: 99%