Energy-efficient routing optimization algorithm in WBANs for patient monitoring

Abstract Wireless Sensor Network (WSN) is known to be a highly resource constrained class of network where energy consumption is one of the prime concerns. The existing system of LTDC has more drawbacks in network routing optimization lifetime and energy level improvement needed. In this research, a cross layer design methodology was adopted to design an energy efficient routing protocol entitled Avant-Grade framework Routing Optimization [AGFRO]. AGFRO is designed to minimize energy consumed in each node by reducing the amount of time in which a sensor node is in an idle listening state and reducing the average communication distance over the network. The performance of the proposed system has been critically evaluated in the context of network lifetime, throughput, and energy consumption of the network per individual basis and per data packet basis. The research results were analyzed and benchmarked against the well-known AGFRO protocols. The outcomes show a significant improvement in the WSN in terms of energy efficiency and the overall performance of WSN.

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Trust based Secure and Energy Efficient Routing using ACO for WSN

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d5285.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 7278-7282

Keyword(s):

Energy Efficiency ◽

Network Lifetime ◽

Optimization Algorithm ◽

Energy Efficient ◽

Sensor Nodes ◽

Ant Colony Optimization Algorithm ◽

Energy Efficient Routing ◽

Proposed Model ◽

Constrained Environments ◽

Time Requirements

Secure and energy efficient routing is one of the major requirements of the WSN models. This is due to the resource constrained environments and remotely deployed conditions. This work proposes an effective model that ensures security and energy efficiency during the routing process in a WSN. The proposed model modifies the Ant Colony Optimization algorithm to perform routing based on these multiple objectives. The proposed model uses trust as the major component to provide security, and the randomness associated with the metaheuristic nature of the model enables uniform usage of all sensor nodes. This also extends the network lifetime, making the proposed model highly efficient and deployable in real-time networks. Experiments and comparisons also indicate that the proposed model exhibits shorter time requirements and provides more optimized paths compared to models in literature.

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Energy-Efficient Routing Based on Dynamic Programming for Wireless Multimedia Sensor Networks (WMSNs)

International Journal of Electronics and Telecommunications ◽

10.1515/eletel-2017-0037 ◽

2017 ◽

Vol 63 (3) ◽

pp. 279-283

Author(s):

Emansa Hasri Putra ◽

Risanuri Hidayat ◽

I Wayan Mustika ◽

Keyword(s):

Dynamic Programming ◽

Sensor Networks ◽

Energy Efficient ◽

Minimum Energy ◽

Wireless Multimedia Sensor Networks ◽

Sensor Nodes ◽

Wireless Multimedia ◽

Energy Efficient Routing ◽

Multimedia Sensor Networks ◽

Routing Optimization

Abstract Wireless Multimedia Sensor Networks (WMSNs) advances can route multimedia applications from source nodes to a sink. However, they require energy efficiency and network lifetime due to limited power resources in the sensor nodes. This paper proposes an energy-efficient routing optimization for multimedia transmission in WMSNs. The optimization utilizes a routing algorithm based on the dynamic programming. The routing optimization algorithm selects intermediary nodes which have minimum energy above 60%. Then, the priority selection of paths immediately finds neighboring nodes which have the greatest energy minimum. If there is the same minimum energy between the neighboring nodes, then the second priority selection is based on smaller link cost.

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