Energy efficient round rotation method for a random cluster based WSN

Enam, Rabia Noor; Misbahuddin, Syed; Imam, Mumtazul

doi:10.1109/cts.2012.6261043

Cited by 18 publications

(9 citation statements)

References 12 publications

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“…Taking mean, median and max/min values of a set of collected data are the simplest form of data compression.This method is also called Summary based aggregation.These methods take minimum amount of bits that is why many of the WSN protocols have acquired it for their data aggregation processes [19][20]. Since in these methods there is a single data value that represent multiple sensors readings, therefore, these methods can…”

Section: Summary Based Aggregationmentioning

confidence: 99%

“…Table 1 gives a comparison of the uniform clustering protocols discussed in this section. In [19] we have proposed a dynamic clustering mechanism called RR (Round Rotation) method which can reduce up to 80% of the overhead energy consumed in cluster setups only. Unlike fixed clusters based approaches, the basic feature of RR method that differentiate it from existing solutions is that it can work for dynamic cluster based protocols.…”

Section: Radio Range Based Protocolsmentioning

confidence: 99%

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A Survey of Energy Conservation Mechanisms for Dynamic Cluster Based Wireless Sensor Networks

Enam¹,

Tahir²,

Qureshi³

et al. 2018

Mehran Univ. res. j. eng. technol.

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WSN (Wireless Sensor Network) is an emerging technology that has unlimited potential for numerous application areas including military, crisis management, environmental, transportation, medical, home/ city automations and smart spaces. But energy constrained nature of WSNs necessitates that their architecture and communicating protocols to be designed in an energy aware manner. Sensor data collection through clustering mechanisms has become a common strategy in WSN. This paper presents a survey report on the major perspectives with which energy conservation mechanisms has been proposed in dynamic cluster based WSNs so far. All the solutions discussed in this paper focus on the cluster based protocols only.We have covered a vast scale of existing energy efficient protocols and have categorized them in six categories. In the beginning of this paper the fundamentals of the energy constraint issues of WSNs have been discussed and an overview of the causes of energy consumptions at all layers of WSN has been given. Later in this paper several previously proposed energy efficient protocols of WSNs are presented.

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Section: Summary Based Aggregationmentioning

confidence: 99%

Section: Radio Range Based Protocolsmentioning

confidence: 99%

A Survey of Energy Conservation Mechanisms for Dynamic Cluster Based Wireless Sensor Networks

Enam¹,

Tahir²,

Qureshi³

et al. 2018

Mehran Univ. res. j. eng. technol.

Self Cite

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show abstract

“…Zu-jue Chen et al in [12] designed a balanced energy adaptive hierarchy routing protocol which establishes the different phases of hierarchical structure according to the distance between nodes and the sink also cluster-head selection has been done which is based on region and multi-hop data transmission in inter-cluster. NS2 simulation result shows that given protocol makes better energy-balanced and improves network survivability.…”

Section: Related Workmentioning

confidence: 99%

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

Grover

Rani

2014

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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The popularity of Wireless Sensor Network (WSN) has increased tremendously in recent times. It consists of small nodes with sensing, computation, and wireless communication capabilities. It requires efficient approach that makes judicious use of energy constrained wireless sensor networks, thus Probabilistic Density Based Adaptive Clustering (PDBAC) scheme is proposed to improve the network survivability using LEACH (Low Energy Adaptive Clustering Hierarchy) protocol, which is one of the popular routing protocol for WSNs. MATLAB simulation results show that PDBAC scheme is more energy efficient in terms of dead nodes, throughput and balance energy of nodes. Average efficiency is also greater than Basic LEACH and I-LEACH, thereby extending the network survivability.

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“…Among these constraints, the energy/power constraints of sensor nodes are vital problems as in most of the cases the batteries of the sensor nodes are not rechargeable or replaceable. Hence prolonging the lifetime of the network by efficient utilization of sensor nodes has become a major issue in WSNs and the routing protocols in WSNs need to consider this problem [1], [2].…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

Abasıkeleş‐Turgut¹

2016

JACN

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Abstract-Due to the resource limitations of the sensor nodes, the most important issue in Wireless Sensor Networks (WSNs) is prolonging overall network lifetime by using energy-efficient routing algorithms. Cluster-based routing protocols have proven to be effective in network topology management, energy minimization and data aggregation. Clustering process can be conducted by a distributed or a centralized manner. In this paper, a distributed and a centralized clustering algorithms are scrutinized under different network parameters, including the size of the network and the location of the base station. The results are evaluated by using the death of the first node and the death of the last node since they are the indicators of the quality and the lifetime of the network. The results show that the distributed approach performs better than the centralized equivalent up to 24.5% for small scale networks when the BS is inside the network. However, as the size of the network increases or as the BS moves away from the network, the centralized approach gets the advantage.

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Energy efficient round rotation method for a random cluster based WSN

Cited by 18 publications

References 12 publications

A Survey of Energy Conservation Mechanisms for Dynamic Cluster Based Wireless Sensor Networks

A Survey of Energy Conservation Mechanisms for Dynamic Cluster Based Wireless Sensor Networks

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

The Effect of the Position of BS and the Size of Network on the Decision of Implementing a Centralized or a Distributed Clustering in WSNs

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