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Rajanesh, V.
- Energy Efficient Sink Placements with Mobile Data Aggregation in Wireless Sensor Network
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Jagtail, IN
2 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, IN
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Jagtail, IN
2 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 2 (2020), Pagination: 2172-2176Abstract
The modelling of wireless sensor networks has always given priority to energy efficiency. The implementation of mobile agent technology in integrated signal and wireless sensor networks has created an effective platform for data storage and aggregation. The distributed paradigm based on mobile agents provides many advantages over the current, widely used device paradigm for clients / data centres in wireless sensor networks. The agent-based paradigms are one of the major problems with mobile agent-based paradigms. Many sinks mitigate the problem by distributing traffic across several discharges, and reducing energy consumption at nodes and extending network service life. This paper presents an Energy-efficient multiple sink positioning algorithm to maximize average network life and limit average sensor network energy consumption. Several sinks are used here for data communication. Result of the proposed algorithm maximizes an average network life and reduces the energy consumption average. The results of the simulation shows that the Protocol proposed exceeds the end-to - end delay, energy consumption and output.Keywords
WSN, Distributed COMPUTING Paradigm, Mobile Agent, Multiple Sinks, Average Energy Consumption, Average Network Lifetime.
References
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- A Trust based Cluster Head Selection Approach using RBFO and Hybrid BFO-BSO for Wireless Sensor Network
Abstract Views :178 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, IN
1 Department of Electronics and Communication Engineering, JNTUH College of Engineering, Sultanpur, IN
Source
ICTACT Journal on Communication Technology, Vol 11, No 2 (2020), Pagination: 2193-2197Abstract
The devices to create a connected network are demanded by the communication task which involves in the wireless sensor network for disseminating and collecting the information based on the radio transmission. The network lifetime’s extension in the operational environment is the essential aim of the WSNs for exchanging the batteries of sensor node is an unfeasible or impossible activity probably. The selection of CHs is targeted in the clustered network that reduces the energy and transmission costs. It’s essential to make the optimal selection of CH to improve the lifetime of a network. However, Non-deterministic Polynomial (NP) hard is considered for CH selections. The natural swarm inspired algorithms such as Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), and Hybrid algorithm (Bacterial foraging Optimization) BFO-BSO (Bee Swarm Optimization) have search their path into the domain and effectiveness is proved. An approach of a trust-based cluster head selection is introduced for improving the efficiency in terms of choosing the cluster head. To compute a trust level for every node, a designing of trust model is done and is implemented. By using the additional three parameters in addition to the hybrid approach such as trust value, residual energy, and the number of neighbors, the cluster heads are chosen. For choosing of cluster head, the T-BOA is adapted to achieve the different objectives such as increased performance of a network, reduced end to end delay, and decreased usage of energy in this work.Keywords
T-BOA, Trust Model, ACO, BAT Algorithm, WSN, Cluster Head Selection, BFO–BSO, PSO.References
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