Infrastructure tradeoffs for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Performance Study of Node Placement in Sensor Networks
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Proceedings of the 3rd international conference on Embedded networked sensor systems
Multiple-Sensor Indoor Surveillance System
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
A wireless sensor network for structural health monitoring: performance and experience
EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Coverage and Lifetime Optimization of Wireless Sensor Networks with Gaussian Distribution
IEEE Transactions on Mobile Computing
Mitigating energy holes based on transmission range adjustment in wireless sensor networks
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Relay node placement in large scale wireless sensor networks
Computer Communications
A Max-Energy-Utilization Deployment Scheme in Wireless Sensor Networks
CSE '11 Proceedings of the 2011 14th IEEE International Conference on Computational Science and Engineering
Constrained-based Multiple Sink Placement for Wireless Sensor Networks
MASS '11 Proceedings of the 2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
ICCCT '12 Proceedings of the 2012 Third International Conference on Computer and Communication Technology
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An optimum sensor node deployment in wireless sensor network can sense the event precisely in many real time scenarios for example forests, habitat, battlefields, and precision agriculture. Due to these applications, it is necessary to distribute the sensor node in an efficient way to monitor the event precisely and to utilize maximum energy during network lifetime. In this paper, we consider the energy hole formation due to the unbalanced energy consumption in many-to-one wireless sensor network. We propose a novel method using the optimum number of sensor node Distribution in Engineered Corona-based wireless sensor network, in which the interested area is divided into a number of coronas. A mathematical models is proposed to find out the energy consumption rate and to distribute the optimum number of sensor node in each corona according to energy consumption rate. An algorithm is proposed to distribute the optimum number of sensor nodes in corona-based networks. Simulation result shows that the proposed technique utilized 95 % of the total energy of the network during network lifetime. The proposed technique also maximizes the network lifetime, data delivery and reduce the residual energy ratio during network lifetime.