Limits...
A self-optimizing scheme for energy balanced routing in Wireless Sensor Networks using SensorAnt.

Shamsan Saleh AM, Ali BM, Rasid MF, Ismail A - Sensors (Basel) (2012)

Bottom Line: Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes' energy.The routing protocol should be able to provide uniform power dissipation during transmission to the sink node.Simulation results show that our scheme performs much better than the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. ah_almshreqy@yahoo.com

ABSTRACT
Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes' energy. The routing protocol should be able to provide uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSNs which is able to utilize and optimize the sensor nodes' resources, especially the batteries, to achieve balanced energy consumption across all sensor nodes. This method is based on the Ant Colony Optimization (ACO) metaheuristic which is adopted to enhance the paths with the best quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop count and average energy of both route and network. This method also distributes the traffic load of sensor nodes throughout the WSN leading to reduced energy usage, extended network life time and reduced packet loss. Simulation results show that our scheme performs much better than the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency.

No MeSH data available.


Related in: MedlinePlus

The dissemination message scheme.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3472886&req=5

f5-sensors-12-11307: The dissemination message scheme.

Mentions: In this proposed method, when the source transmits data to the sink within a period of this session it will start sending Ant-F to explore and update the information about the current routes used and check for any other better routes using a proactive mechanism. This process periodically checks the changes in the WSN caused by link failured, either by movement of the sensor nodes or the depletion of sensor nodes in the available path. This process involves the same concept of path searching. It updates the pheromone information to guide the ants to track new routes for data transmission by spreading the pheromone value using the dissemination message, to its neighbors and checking the energy level to compute path quality function of alternative routes. Figure 5 described the structure of the dissemination message where the pointer field indicates if the pheromone value is real or non-real. The non-real pheromone, is obtained by reinforcement learning scheme to update the pheromone table, replacing the maximum (best) value of the pheromone trace based on the multi-criteria function qualities, of both path and hop, which frequently monitor the energy level of the sensors in relaying the data. The advantages is that, this strategy will avoid routing the data packet using the same path all the time and prevent the sensor node from being drained very quickly, resulting in prolonged network life time. This mechanism hence increases the chances of selecting a better route between multiple paths available to forward packets to the sink.


A self-optimizing scheme for energy balanced routing in Wireless Sensor Networks using SensorAnt.

Shamsan Saleh AM, Ali BM, Rasid MF, Ismail A - Sensors (Basel) (2012)

The dissemination message scheme.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472886&req=5

f5-sensors-12-11307: The dissemination message scheme.
Mentions: In this proposed method, when the source transmits data to the sink within a period of this session it will start sending Ant-F to explore and update the information about the current routes used and check for any other better routes using a proactive mechanism. This process periodically checks the changes in the WSN caused by link failured, either by movement of the sensor nodes or the depletion of sensor nodes in the available path. This process involves the same concept of path searching. It updates the pheromone information to guide the ants to track new routes for data transmission by spreading the pheromone value using the dissemination message, to its neighbors and checking the energy level to compute path quality function of alternative routes. Figure 5 described the structure of the dissemination message where the pointer field indicates if the pheromone value is real or non-real. The non-real pheromone, is obtained by reinforcement learning scheme to update the pheromone table, replacing the maximum (best) value of the pheromone trace based on the multi-criteria function qualities, of both path and hop, which frequently monitor the energy level of the sensors in relaying the data. The advantages is that, this strategy will avoid routing the data packet using the same path all the time and prevent the sensor node from being drained very quickly, resulting in prolonged network life time. This mechanism hence increases the chances of selecting a better route between multiple paths available to forward packets to the sink.

Bottom Line: Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes' energy.The routing protocol should be able to provide uniform power dissipation during transmission to the sink node.Simulation results show that our scheme performs much better than the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency.

View Article: PubMed Central - PubMed

Affiliation: Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. ah_almshreqy@yahoo.com

ABSTRACT
Planning of energy-efficient protocols is critical for Wireless Sensor Networks (WSNs) because of the constraints on the sensor nodes' energy. The routing protocol should be able to provide uniform power dissipation during transmission to the sink node. In this paper, we present a self-optimization scheme for WSNs which is able to utilize and optimize the sensor nodes' resources, especially the batteries, to achieve balanced energy consumption across all sensor nodes. This method is based on the Ant Colony Optimization (ACO) metaheuristic which is adopted to enhance the paths with the best quality function. The assessment of this function depends on multi-criteria metrics such as the minimum residual battery power, hop count and average energy of both route and network. This method also distributes the traffic load of sensor nodes throughout the WSN leading to reduced energy usage, extended network life time and reduced packet loss. Simulation results show that our scheme performs much better than the Energy Efficient Ant-Based Routing (EEABR) in terms of energy consumption, balancing and efficiency.

No MeSH data available.


Related in: MedlinePlus