Dual head static clustering algorithm for wireless sensor networks

Panag, Tripatjot Singh; Dhillon, J.S.

doi:10.1016/j.aeue.2018.03.019

Cited by 42 publications

(24 citation statements)

References 28 publications

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“…Otherwise, it will use multi-hop communication and CH in the ring (r i-1 ) will be selected as next-hop. This is shown in equation [19] Next-hop= (8) When the d is greater than d 0 then the next hop will be a CH in the lower-numbered ring and is selected by using the following steps. When a CH ij has to transfer data a list of negotiable-CHs(N Ch ) is prepared.…”

Section: Bsetup Phasementioning

confidence: 99%

“…In this protocol CH is selected in a very efficient manner and static clustering is used which improves energy efficiency than dynamic clustering. Panag et al [19] proposed dual-head static clustering algorithm to balance energy consumption by the sensor nodes. In this protocol two nodes in a cluster are selected as the CHs on the basis of remaining energy and distance from the BS and other nodes within the cluster.…”

mentioning

confidence: 99%

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Energy-Efficient Unequal Clustering Routing Algorithm for WSNs

handa*¹,

Panag²,

Sohi³

2019

IJRTE

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Wireless sensor networks(WSNs) are used to monitor the environment where the networks are deployed. The Lifetime of WSNs can be increased by energy-efficient or energy balancing algorithms. Balanced energy consumption among all nodes is the main issue. In this paper, a new energy-efficient unequal clustering routing protocol (EEUCR) has been presented. In this protocol, the area of the network is divided into the number of rings of unequal size and each ring is further divided into a number of clusters. Rings nearer to the base station(BS) have a smaller area and the area of rings keeps on increasing as the distance from BS increases. This helps to balance the energy consumption among the sensor nodes. The nodes with heterogeneous energy are deployed in the network. Nodes nearer to the base station have higher energy as compared to farther nodes. Static clustering is used but cluster heads(CHs) are not fixed and are elected on the basis of the remaining energy of the sensor node. Simulation results are compared with existing protocols and show improvement in energy consumption, which, in turn, increases the network lifetime of WSN and also balance the energy consumption of sensor node

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Section: Bsetup Phasementioning

confidence: 99%

mentioning

confidence: 99%

Energy-Efficient Unequal Clustering Routing Algorithm for WSNs

handa*¹,

Panag²,

Sohi³

2019

IJRTE

Self Cite

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“…Following Table-IV enlist the parameters used for simulation for two different scenarios. Results of protocols used for comparison with EEUCR are taken from DHSCA [10]. To take the values of FND of EEUCR is simulated 300-700 nodes deployment for scenario1 and scenario2.…”

Section: Lifetime Of Eeucrmentioning

confidence: 99%

“…In this section, EEUCR is compared with DHSCA [10], ERP-SCDS [11], Hausdorff [12] as per scenario1. The results of the comparison are shown in Fig.7 and…”

Section: E Comparison Of the Lifetime Of Eeucr With Existing Protocomentioning

confidence: 99%

“…CH election is based on evaluation of each node by calculating its weight. Panag et al [10] proposed dual-head static clustering algorithm to balance energy consumption by the sensor nodes. In this protocol two nodes in a cluster are selected as the CHs on the basis of remaining energy and distance from the BS and other nodes within the cluster.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Packet Delivery Ratio and a lifetime of Wireless Sensor Networks using Energy-Efficient Unequal Clustering Routing Algorithm

handa*¹,

Panag²,

Sohi³

2019

IJITEE

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Sensors are regarded as significant components of electronic devices. The sensor nodes deployed with limited resources, such as the power of battery inserted in the sensor nodes. So the lifetime of wireless sensor networks(WSNs) can be increased by using the energy of the sensor nodes in an efficient way. A major part of energy is consumed during the communication of data. Also, the growing demand for usage of wireless sensors applications in different aspects makes the quality-of-service(QoS) to be one of the paramount issues in wireless sensors applications. QoS guarantee in WSNs is difficult and more challenging due to the fact that the sensors have limited resources and the various applications running over these networks have different constraints in their nature and requirements. The packet delivery ratio(PDR) is a major factor of QoS. To achieve high QoS the packet delivery ratio should be maximum. The energy-efficient unequal clustering routing protocol (EEUCR) is evaluated and results show that it enhances the packet delivery ratio(PDR) and a lifetime of WSNs. In this protocol, the area of the network is divided into a number of rings of unequal size and each ring is further divided into a number of clusters. Rings nearer to the base station(BS) have smaller area and area of rings keeps on increasing as the distance from BS increases for balanced energy consumption. The nodes with heterogeneous energy are deployed in the network. Nodes nearer to the base station have higher energy as compared to farther nodes. Static clustering is used but cluster heads(CHs) are not fixed and are elected on the basis of remaining energy. This helps to increase lifetime of EEUCR. PDR of EEUCR is improved because multiple rings help to find better route which further aids to ensure safe reception of packets at the destination. Simulation results are compared with existing protocols and show that this algorithm gives better results.

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A novel approach on energy‐efficient clustering protocol for wireless sensor networks

Zachariah

Kuppusamy

2022

Int J Communication

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Summary Wireless sensor networks are group of nodes capable enough to communicate with other nodes wherever they are deployed. The demanding need for a wireless sensor network in various fields of monitoring and tracking has gained more popularity in recent years. However, as sensor nodes have limited and dissipating battery power, energy conservation is a critical challenge in wireless sensor networks. Clustering is one of the promising methodologies to reduce the consumption of energy. This paper presents a cluster‐based routing algorithm for transferring the data to the base station. The algorithm uses the k‐means approach to select the clusters. Each cluster consists of two cluster heads, one for aggregating the data and the other for data transmission; thereby, they share the load and improve the network lifetime. The data are sent to the base station by a multi‐hop approach. For energy efficiency, a minimum cost path is chosen by considering the energy and distance. Simulations are implemented in NS2. The results obtained show that the proposed protocol is more efficient than the benchmarked algorithms in network lifetime, packet delivery ratio, throughput, total energy consumption, and end to end delay.

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Dual head static clustering algorithm for wireless sensor networks

Cited by 42 publications

References 28 publications

Energy-Efficient Unequal Clustering Routing Algorithm for WSNs

Energy-Efficient Unequal Clustering Routing Algorithm for WSNs

Enhancing Packet Delivery Ratio and a lifetime of Wireless Sensor Networks using Energy-Efficient Unequal Clustering Routing Algorithm

A novel approach on energy‐efficient clustering protocol for wireless sensor networks

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