Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network

Sasirekha, S.; Swamynathan, S.

doi:10.1109/jcn.2017.000063

Cited by 129 publications

(68 citation statements)

References 34 publications

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“…After reviewing the existing mechanism of clustering optimization, the following are the open‐end research problems identified: Adoption of iterative approach: Majority of the existing mechanism have used iterative mechanism towards performing clustering operation. Multiple rounds of similar operation are carried out in recursive order for finding the best cluster head is witnessed.…”

Section: Research Problemmentioning

confidence: 99%

“…In a challenging environment like terrain, it is essential to have better control of the topology. Mobility of sink node is one good option, but existing approaches [45][46][47][48][49][50] have diversified the focus on mobility limited to data aggregation and less towards the energy efficiency. Therefore, the applicability of such studies towards proper topology control cannot be claimed.…”

Section: Research Problemmentioning

confidence: 99%

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Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

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Summary Clustering is one of the essential operations in wireless sensor network (WSN) to ensure organized data aggregation followed by energy efficiency. However, obtaining optimal clustering performance is yet an unsolved problem in WSN. Review of existing approaches towards cluster optimization shows that effective balance between energy efficiency and topology control is still missing. Therefore, the proposed system presents a unique topology control mechanism using a novel concept of interstellar orientation toward optimizing the clustering performance in WSN. Adopting an analytical research methodology, the proposed system introduces two interstellar‐based topology control system, which targets the maximum saving of resource consumption of the cluster head. The simulated outcome of the study shows that the proposed topology control system offers significant energy conservation performance in comparison to the existing hierarchical clustering scheme in WSN.

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Section: Research Problemmentioning

confidence: 99%

Section: Research Problemmentioning

confidence: 99%

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Jyothi

Usha

2020

Int J Communication

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“…Each subunit has a chosen leader node that is elected in a random probabilistic fashion. When the data packets are to be sent towards the sink node there is a lot of back and forth propagation that happens between the base station and the nodes in the network which directly increases the energy consumption and hence reduces the lifetime ratio in the network, In order to improve the network lifetime LEACH can be modified by making use of Cluster Chain Mobile Agent (CCMA) [26] mechanism which will allow the mobile agent to visit each subunit and do a data aggregation.…”

Section: B Routing and Clustering Techniquesmentioning

confidence: 99%

Reckoning Network Lifetime Ratio for Wireless Sensor Network

Saqhib¹,

S²

2019

IJITEE

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Advanced Technologies such as Internet of Things, Machine Networking give rise to the deployment of autonomous Wireless Sensor Nodes. They are used for various domains namely battlefield monitoring, enemy detection and monitoring the environment change. These Wireless Sensor Nodes have the properties of low cost and high battery life. NL (Network Lifetime) is an important phase of Wireless Sensor Network (WSNs), in which the nodes can maintain sensing for a more amount of time. NL can be improved by use of multiple techniques namely Opportunistic Transmission, Scheduling of Timed Data Packets, Clustering of Nodes, Energy Harvesting and Connectivity. This paper provides the energy consumption computation, life time ratio definition and the overview of NL improvement techniques. The paper also presents brief review of the Destination based and Source based routing algorithm

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“…Considering the sharing property of the WSN links, the sensing routing protocol was proposed. In the sensing routing protocol, the transmission strategy of the data packets is controlled by estimating some parameters of the links, such as the signal-to-noise ratio (SNR), delay and load [4][5]. In addition, these parameters are adjusted adaptively according to the network performance.…”

Section: Introductionmentioning

confidence: 99%

MR-DFM: A multi-path routing algorithm based on data fusion mechanism in sensor networks

Sun

Hou

et al. 2019

COMSIS J

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Sensor networks will always suffer from load imbalance, which causes bottlenecks to the communication links. In order to address this problem, a multi-path routing algorithm based on data-fusion-mechanism (MR-DFM) is proposed in this work. In this algorithm, the Mobile Sink controls the clustered energy consumption of the nodes in the event domain according to the delay messages relayed by the neighbor nodes. Meanwhile, the optimal neighbor node in the candidate set is obtained according to the data stream of the neighbor nodes to perform the relay of the data packets. It is shown via simulation results that the proposed MR-DFM algorithm shows obvious improvement according to the energy consumption of the network throughput of the sensing data and the throughput of the sensing data and each hop of the neighbor nodes. Therefore, it is verified that the proposed MR-DFM algorithm shows remarkable data fusion effects and optimizes the network resources.

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Cluster-chain mobile agent routing algorithm for efficient data aggregation in wireless sensor network

Cited by 129 publications

References 34 publications

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Interstellar‐based topology control scheme for optimal clustering performance in WSN

Reckoning Network Lifetime Ratio for Wireless Sensor Network

MR-DFM: A multi-path routing algorithm based on data fusion mechanism in sensor networks

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