Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm in Wireless Sensor Networks

@article{Zungeru2013EnergyEP,
  title={Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm in Wireless Sensor Networks},
  author={Adamu Murtala Zungeru and Kah Phooi Seng and Li-Minn Ang and Wai Chong Chia},
  journal={J. Sensors},
  year={2013},
  volume={2013},
  pages={759654:1-759654:17}
}
The main problem for event gathering in wireless sensor networks (WSNs) is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR) algorithm, based on the ant colony optimization (ACO) metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three… 

Figures and Tables from this paper

Energy Aware Simple Ant Routing Algorithm for Wireless Sensor Networks

This work presents EASARA, an energy aware simple ant routing algorithm based on ant colony optimization that strives to avoid low energy routes and optimizes the routing process through selection of least hop count path with more energy.

Performance Evaluation of Energy-aware Swarm Intelligence Based Routing Protocols for Wireless Sensor Networks Based on Different Radio Models

Simulation results indicate that the energy aware routing objectives of Termite-hill, Sensor driven and cost-aware ant routing (SC) and Improved Energy Efficient Ant Based routing (IEEABR) protocols increases the network lifetime for Normal Radio Model (NRM), Radio Model with Signal-to-Interference-plus-Noise Ratio (RMSINR) and Radio model with Rayleigh Fading (RMRYF)..

Energy and Hop count aware Ant based Routing Protocol for Wireless Sensor Networks

Ant Colony Optimization which is a meta heuristic inspired from the behaviour of real ant colonies is applied here to find an optimal routing path and hence to increase the network lifetime.

A Comprehensive Review of Ant Colony Optimization (ACO) based Energy-Efficient Routing Protocols for Wireless Sensor Networks

It is concluded that Swarm Intelligence being a novel and bio-inspired field has contributed as well as contributing much in the area of improving routing issues of sensor networks.

Performance analysis of energy-aware routing protocols for wireless sensor networks using different radio models

Simulation results indicate that the energy aware routing objectives of Termite-hill, Sensor driven and cost-aware ant routing (SC) and Improved Energy Efficient Ant Based routing (IEEABR) protocols increases the network lifetime for Normal Radio Model (NRM), Radio Model with Signal-to-Interference-plus-Noise Ratio (RMSINR) and Radio model with Rayleigh Fading (RMRYF).

Bee-Sensor-C: An Energy-Efficient and Scalable Multipath Routing Protocol for Wireless Sensor Networks

Bee-Sensor-C is an energy-aware and scalable multipath routing protocol based on dynamic cluster and foraging behavior of a bee swarm that outperforms the existing protocols in terms of energy efficiency, energy consumption balance, packet delivery rate, and scalability.

Prolonging the Lifetime of the Wireless Sensor Network Based on Blending of Genetic Algorithm and Ant Colony Optimization

A hybrid model for energy optimization focused on formation of Cluster and Cluster Head determination based on Genetic Algorithm and anAnt Colony Optimization algorithm to find the shortest path from source Cluster Head to destination Sink using multipath routing data transmission is proposed.

Network Lifetime Optimization Using ACO in Wireless Sensor Network

The Objective of the work is to provide a novel and adaptive intelligent routing scheme for wireless sensor networks to achieve the shortest and optimal path between source and destination.

Recent Advances in Energy-Efficient Routing Protocols for Wireless Sensor Networks: A Review

This paper articulate this problem and classify current routing protocols for WSNs into two categories according to their orientation toward either homogeneous or heterogeneous W SNs, further classified into static and mobile ones.

References

SHOWING 1-10 OF 26 REFERENCES

An Energy-Efficient Ant-Based Routing Algorithm for Wireless Sensor Networks

This paper presents a new Wireless Sensor Network routing protocol, which is based on the Ant Colony Optimization metaheuristic, and results clearly show that it minimises communication load and maximises energy savings.

Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison

A survey on routing protocols in Wireless Sensor Networks

  • M. PatilR. Biradar
  • Computer Science
    2012 18th IEEE International Conference on Networks (ICON)
  • 2012
A survey of state-of-the-art routing techniques in Wireless Sensor Networks (WSNs) and compares the routing protocols against parameters such as power consumption, scalability, mobility, optimal routing and data aggregation.

An energy-aware QoS routing protocol for wireless sensor networks

  • K. AkkayaM. Younis
  • Computer Science
    23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings.
  • 2003
This paper proposes an energy-aware QoS routing protocol, which finds a least-cost, delay-constrained path for real-time data in terms of link cost that captures nodes' energy reserve, transmission energy, error rate and other communication parameters.

Termite-Hill: Routing towards a Mobile Sink for Improving Network Lifetime in Wireless Sensor Networks

  • A. M. ZungeruL. AngK. Seng
  • Computer Science
    2012 Third International Conference on Intelligent Systems Modelling and Simulation
  • 2012
This work proposes a routing algorithm termed Termite-hill that support sink mobility and efficiently relay all the traffic destined for the sink and improve the network lifetime.

Ant Based Routing Protocol for Visual Sensors

The proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation.

Improvements on Ant Routing for Sensor Networks

Three new ant-routing algorithms are proposed and performance evaluations for these algorithms on a real application are conducted on a routing simulator for sensor networks.

A survey on swarm intelligence based routing protocols in wireless sensor networks

This paper briefly discussed especially, swarm intelligence based routing protocols for wireless sensor networks, which deal with problems such as complexity, scalability, adaptability, survivability and battery life in wireless systems.