Distance based Angular Clustering Algorithm (DACA) for heterogeneous wireless sensor networks

Kumar, Naveen; Kaur, Surinder

doi:10.1109/cdan.2016.7570912

Cited by 6 publications

(2 citation statements)

References 19 publications

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“…In this they applied to the protocol the minimum spanning tree and the information entropy theory in which amount of communication can be reduced while transmitting the data. Navjot Kumar Surinder Kaur [10] proposed an algorithm that considers wireless sensor network and divides in to angles and clusters which are distance based regions. Path formation problem and non coverage area will be removed.…”

Section: Literature Surveymentioning

confidence: 99%

Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept

Lakshmi*¹,

Prashanth²

2019

IJITEE

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In a distributed Wireless Communication Technology, the Wireless Sensor Network (WSN) is a technology developing for sensing and performing different monitoring operations. The proposed algorithm dynamically partitions the Heterogeneous Wireless Sensor Network (HWSN) in to clusters. On the basis of initial energy, the cluster head (CH) is selected in the first round and residual energy with low draining rate protocol (RELDR) is used in the next round for selecting CH. The CH senses and aggregates the data, these summarized data is processed between the clusters and the link is maintained with the base station. Cluster Authority (CA) is a member node that acts as a supervising node which contains remove list and maintains the attacker information. The Technology Multiple Input and Multiple Output(MIMO) is used in the proposed system which reduces the noise in the signal and improves the network performance. During transmission, the unauthenticated nodes which are responsible for data leakage or any malicious activities are detected by the algorithm and information of these nodes are updated in the remove list of CA. The listed unauthenticated nodes or the black hole attack nodes in CA are removed from the network. The proposed algorithm removes the malicious nodes which are affecting the network performance and reconstructs the network by considering only the legitimate nodes. Experimental results will be analyzed for the network parameters like throughput, delay, energy and Packet delivery ratio and compared with the existing systems.

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Section: Literature Surveymentioning

confidence: 99%

Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept

Lakshmi*¹,

Prashanth²

2019

IJITEE

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“…Navjot et al, [39] proposed a Distance based Angular Clustering Algorithm (DACA) for WSNs. The DACA algorithm finds the path based on node's energy, distance and path energy.…”

Section: Related Workmentioning

confidence: 99%

Maximizing Network Lifetime using Fuzzy Based Secure Data Aggregation Protocol (FSDAP) in a Wireless Sensor Networks

S*,

K R

2019

IJRTE

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Secure Data Aggregation in Wireless Senor Networks (WSNs) is a challenging issue. The various protocols has been suggested in the recent past such as EDIT[13], ADA[8], TSDA[9], SEDAN[10]. These protocols effectively meet the constraints of WSNs. In this paper, we have proposed a Fuzzy Based Secure Data Aggregation protocol (FSDAP) which is an efficient localized protocol. The FSDAP protocol is designed with three phases. The first phase selects Aggregator Node using ANS algorithm. An ANS algorithm involves two steps to elect an Aggregator Node in the clustered network. In first step, the cluster head is selected based on the Euclidean distance and in second step, the cluster head is selected based on the fuzzy product and fuzzy value (α). Then, in second phase, a selected AN eliminates data redundancy sensed by all sensor nodes within the cluster. Finally, in third phase, the FSDAP protocol effectively detects malicious node and provides secure data transmission path. Thus, the proposed protocol, FSDAP utilizes the node’s resource parameter uniformly, which in turn improves Network Lifetime, maximizes Throughput Rate, maximizes Packet Delivery Ratio and minimizes End-to-End Delay. The FSDAP is simulated using the NS2 simulator and compared with centroid algorithms Fuzzy C-Means and K-Means algorithm and a secure aggregation protocol implemented using SAR (Secure Aware Ad hoc Routing). The time complexity of FSDAP protocol is O(m2n).

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RED: Residual Energy and Distance Based Clustering to Avoid Energy Hole Problem in Self-organized Wireless Sensor Networks

Chunawale¹,

Sirsikar²

2017

Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 1

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Distance based Angular Clustering Algorithm (DACA) for heterogeneous wireless sensor networks

Cited by 6 publications

References 19 publications

Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept

Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept

Maximizing Network Lifetime using Fuzzy Based Secure Data Aggregation Protocol (FSDAP) in a Wireless Sensor Networks

RED: Residual Energy and Distance Based Clustering to Avoid Energy Hole Problem in Self-organized Wireless Sensor Networks

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