Modified balanced energy efficient network integrated super heterogeneous protocol

Preethi, A; Pravin, E.; Sangeetha, D.

doi:10.1109/icrtit.2016.7569562

Cited by 14 publications

(8 citation statements)

References 6 publications

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“…In the Stable Election Protocol (SEP) [ 23 ], cluster heads are elected based on weighted probabilities that depend on the residual energies of sensor nodes. Then, based on categorizing the energy levels of sensor nodes, the Developed Distributed Energy-Efficient Clustering (DDEEC) [ 24 ] method was introduced to improve the SEP. The nodes with high energy levels are the “advanced nodes”, and the cluster head is selected from these advanced nodes.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Routing Algorithm for Green Communication in Underground Mines

Wang

et al. 2018

Sensors

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With the long-term dependence of humans on ore-based energy, underground mines are utilized around the world, and underground mining is often dangerous. Therefore, many underground mines have established networks that manage and acquire information from sensor nodes deployed on miners and in other places. Since the power supplies of many mobile sensor nodes are batteries, green communication is an effective approach of reducing the energy consumption of a network and extending its longevity. To reduce the energy consumption of networks, all factors that negatively influence the lifetime should be considered. The degree constraint minimum spanning tree (DCMST) is introduced in this study to consider all the heterogeneous factors and assign weights for the next step of the evaluation. Then, a genetic algorithm (GA) is introduced to cluster sensor nodes in the network and balance energy consumption according to several heterogeneous factors and routing paths from DCMST. Based on a comparison of the simulation results, the optimization routing algorithm proposed in this study for use in green communication in underground mines can effectively reduce the network energy consumption and extend the lifetimes of networks.

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Section: Related Workmentioning

confidence: 99%

An Optimization Routing Algorithm for Green Communication in Underground Mines

Wang

et al. 2018

Sensors

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“…Assume that N sensor nodes are randomly and uniformly deployed within the M×M monitoring area, the node cluster probability is p opt , then there will be N×p opt clusters in the network. The average area of each cluster is (M×M)/(N×p opt ), each cluster approximates as a circle, then the desired cluster head node radius R c as: (14) Where N alive (i) represents the number of neighbor nodes that the r-th round node i survives. From the Eq.…”

Section: Node Density Factormentioning

confidence: 99%

“…From the Eq. (14), when the difference between the number of neighbor nodes of node i and the number of neighbor nodes is positive, the density factor is greater than 1, and the node is in high density region. When the number of neighbor nodes of node i and the network optimal neighbor node is negative, the density factor is less than 1, and the node is in low density area.…”

Section: Node Density Factormentioning

confidence: 99%

“…In [10],which introduces the ETSEP protocol [11] for the choice of cluster heads for the four nodes, and then balance the energy consumption of the nodes. What is more, the literature [12,13,14] also made improvements to BEENISH. However, the above protocols ignore the node density and the distance between the node and the BS on the network, and the CHs uses single hop to communicate with the BS which will increase the load of the remote CHs.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Clustering Protocol for Energy Heterogeneous WSN

Wang¹,

Wang²

2018

dtcse

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Abstract. This paper studies on the problem that the unreasonable choice of clustered routing protocol cluster head of energy heterogeneous WSN and the overload of some cluster head node which are far away from the base station in remote communication. And an improved clustering routing protocol based on energy and density for heterogeneous wireless sensor networks is proposed. Firstly, the optimal number of cluster head is got according to the network energy consumption model, and the node density factor is modified. Then, the new threshold is established by considering the residual energy of the node, the node density and the distance from the node to the BS. The cluster head communicates with the BS by using a single hop and a hybrid way through a relay node to reduce the cluster head load of the remote base station. Finally, the simulation results based on OMNet++ and Matlab show that the improved protocol has better performance in terms of network lifetime and network energy consumption compared with existing protocols.

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“…This constraint has lead to low memory, communication, and computation capability in WSN [4,5]. Clustering protocols [6,7] enable minimal communication in WSN. In clustered networks, nodes are grouped into clusters and each cluster has a cluster head.…”

mentioning

confidence: 99%

Data Security in Internet of Things

Rani¹,

Suganthi

2021

ICT With Intelligent Applications

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IoT has proliferated into wide applications due to the inevitable use of WSN. Security in IoT is an emerging area of research and still much work needs to be done in this area. The proposed system aims at providing security in data transfer of clustered IoT. Clustering reduces communication overhead, and hence, it is widely used when combined with data aggregation in IoT. The system studies the performance of Elgammal and Diffie-Hellman in data security. The system employs Elgammal method for encryption and Signature scheme for authentication. It is compared to existing Diffie-Hellman scheme. It is found that the proposed system overcomes the drawback of man-in-the-middle attack in existing system. The system is implemented in COOJA emulator. As energy serves as the main challenge in IoT, the energy cost is compared with existing systems. IntroductionAn ubiquitous framework, the Internet of things (IoT), is the result of evolution in smart networks. Sensors, sensor nodes, and peripheral devices communicate through Internet and collaboratively yield value added services in IoT. Any devices can be connected to the other and they achieve automation in respective fields yielding services. Hence, wireless sensor network (WSN) is the basic atomic unit of IoT. The varied applications of IoT range from critical applications like healthcare and banking systems, monitoring systems in industry, home, structure and traffic, waste management, logistics to the highly sophisticated and complex smart cities [1-3]. The widespread use of WSN has evolved from their working environment challenges. WSN nodes are resource restricted in the usage of energy. This is because of minimal

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Modified balanced energy efficient network integrated super heterogeneous protocol

Cited by 14 publications

References 6 publications

An Optimization Routing Algorithm for Green Communication in Underground Mines

An Optimization Routing Algorithm for Green Communication in Underground Mines

An Improved Clustering Protocol for Energy Heterogeneous WSN

Data Security in Internet of Things

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