Ant Based Cluster Head Election Algorithm in Wireless Sensor Network to Avoid Redundancy

Sharma, Tripti; Kumar, Bijesh; Berry, Karan; Dhawan, Akanksha; Rathore, Rahul; Gupta, Vishalakshi

doi:10.1109/csnt.2014.25

Cited by 10 publications

(10 citation statements)

References 6 publications

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“…Simulation has shown that the proposed protocol has higher stability period and better energy utilization as compared to Existing ACO protocol [10]. From the simulation following comparative results are obtained:…”

Section: Simulation Parameters and Resultsmentioning

confidence: 89%

“…In simulation, we have compared the performance of Existing [10] and Optimized ACO protocol. These sensor nodes are distributed in 600*600 square.…”

Section: Simulation Parameters and Resultsmentioning

confidence: 99%

“…It also reduces the efforts used in sending the redundant data sent by the sensors that are close to each other in the sensor network [10]. The performance of proposed algorithm is compared with the LEACH protocol, and the simulation results show that the proposed approach provides optimized solutions in…”

Section: Ant Based Cluster Head Election Algorithm In Wireless Sensormentioning

confidence: 99%

“…The existing work [10] is not efficient as cluster head is chosen randomly among the live sensors, which leaves the scope of efficient selection of cluster head that will optimize the efficiency of the overall network. The proposed work makes use of maximum value of product of degree and energy for cluster head election.…”

Section: Proposed Systemmentioning

confidence: 99%

“…The existing system [10] is the sensor network sensor nodes are grouped into clusters controlled by a single base station. Each cluster consists of a cluster head node that manages sensors in the cluster.…”

Section: Existing Systemmentioning

confidence: 99%

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Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

Kumar¹

2016

IJCA

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Wireless Sensor Networks consist of inexpensive nodes that are positioned over an area to collect the useful information and send the valuable data to the base station for further processing. In wireless sensor networks, nodes have limited power and shorter lifetime. So, it is crucial to aggregate the data in Energy Efficient manner and optimize the lifetime of the network. To solve the issue, Ant Colony Optimization, a Swarm Intelligence based Routing Technique is used. The proposed system is a Routing Approach based on ACO Algorithm along with the Clustering approach in which Cluster Head is elected based on maximum value of energy and degree to maximize Energy Efficiency of the network and to increase the lifetime of the network. Performance obtained from the simulation results shows that the proposed approach provides an Optimized solution in terms of Enhanced Network Lifetime and Efficient Energy Utilization.

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Section: Simulation Parameters and Resultsmentioning

confidence: 89%

“…In simulation, we have compared the performance of Existing [10] and Optimized ACO protocol. These sensor nodes are distributed in 600*600 square.…”

Section: Simulation Parameters and Resultsmentioning

confidence: 99%

Section: Ant Based Cluster Head Election Algorithm In Wireless Sensormentioning

confidence: 99%

Section: Proposed Systemmentioning

confidence: 99%

Section: Existing Systemmentioning

confidence: 99%

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Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

Kumar¹

2016

IJCA

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EC-STCRA: Energy Conserved – Supervised Termite Colony based Role Assignment scheme for Wireless Sensor Networks

Rajarajeswari¹,

Karthikeyan²,

Priya³

2015

Procedia Computer Science

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Energy-Efficient Cooperative Routing Scheme for Heterogeneous Wireless Sensor Networks

et al. 2020

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Generally, routing techniques are essential for Wireless Sensor Networks (WSNs) to deliver data packets to their destinations (also known as sinks). For a practical application, sensors are deployed to monitor environmental changes and events. Most WSNs detect specific events in their specific environments. But, different WSNs may monitor different events with different sensors in the same area. For example, a smart-home WSN deploys thermal sensors/meters to measure indoor and outdoor temperatures, bodytemperature sensors to detect thief intrusion, etc. Also, in the underlying house, there is a health WSN which utilizes physiological sensors to monitor patients' health condition. In other words, several WSNs of different purposes co-exist in the same geographical area. Currently, each WSN's data delivery is independent from others'. Basically, if all sensors in such a multi-WSNs environment can share their routing paths/nodes and relay event packets for other WSNs, the delivery efficiency can be enhanced since many more sensors can be found there for packet relay. Consequently, the transmission energy can be reduced since energy consumed for wireless transmission is proportional to d 2 where d is the transmission distance between sender and receiver. Therefore, in this study, we propose an energy saving routing mechanism, named Energy-Efficient Cooperative Routing Scheme for Heterogeneous Wireless Sensor Networks (EERH for short), in which several WSNs deployed in the same geographical environment form a heterogeneous sensor network and sensors relay packets for its own WSN and also for other WSNs. Routing paths are dynamically established according to the transmission directions of event packets and the residual energy of the underlying sensors and their neighbors. In addition, the packets routed to the same direction by the same sensors are aggregated to save delivering energy. Moreover, the network parameters of the EERH, like propagation delay of an event packet and the transmission distance of a sensor, are adjustable so as to satisfy the practical environment needs. Simulation results show that the EERH efficiently extends the lifetime of a heterogeneous WSN. INDEX TERMS Wireless sensor networks, heterogeneous wireless sensor networks, energy efficient, cooperative routing.

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Ant Based Cluster Head Election Algorithm in Wireless Sensor Network to Avoid Redundancy

Cited by 10 publications

References 6 publications

Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

EC-STCRA: Energy Conserved – Supervised Termite Colony based Role Assignment scheme for Wireless Sensor Networks

Energy-Efficient Cooperative Routing Scheme for Heterogeneous Wireless Sensor Networks

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