Energy-efficient and location-aware ant colony based routing algorithms for wireless sensor networks

Dominguez, C. Tolentino; Cruz-Cortés, Nareli

doi:10.1145/2001576.2001593

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…The main reason to seek location awareness in ACO routing is the dynamic network topology causing frequent link breakup that causes the source node to spend most of its time in route setup and route maintenance. In location awareness in ACO, each node will have a general idea about the network topology and its neighbors so that it can choose the nearest neighbor toward the destination [15,16]. This new routing algorithm is based on ACO and uses location as a parameter to enhance its efficiency.…”

Section: Ant Colony Optimization Using Received Signal Strengthmentioning

confidence: 99%

Event Based Clustering Localized Energy Efficient Ant Colony Optimization (EBC_LEE-ACO) for Performance Enhancement of Wireless Sensor Network

Chavan

Kulkarni²

2018

Eng. Technol. Appl. Sci. Res.

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The main challenge of a wireless sensor network (WSN) in disaster situations is to discover efficient routing, to improve quality of service (QoS) and to reduce energy consumption. Location awareness of nodes is also useful or even necessary. Without knowing the position of sensor nodes, collected data is insignificant. Ant colony optimization (ACO) is a unique form of optimization method, which is highly suitable for adaptive routing and guaranteed packet delivery. The primary drawbacks of ACO are data flooding, huge overhead of control messages and long convergence time. These drawbacks are overcome by considering location information of sensor nodes. An event-based clustering localized energy efficient ant colony optimization (EBC_LEE-ACO) algorithm is proposed to enhance the performance of WSN. The main focus of the proposed algorithm is to improve QoS and minimize the network energy consumption by cluster formation and selecting the optimal path based on the biological inspired routing-ACO and location information of nodes. In clustering, data is aggregated and sent to the sink (base station) through cluster head (CH) which reduces overheads. EBC_LEE-ACO is a scalable and energy efficient reactive routing algorithm which improves QoS, lifetime and minimizes energy consummation of WSN as compared to other routing algorithms like AODV, ACO, ACO using RSSI. The proposed algorithm reduces energy consumption by approximately 7%, in addition to improvement in throughput, packet delivery ratio and increase in packet drop which has been observed in comparison with other algorithms, i.e. autonomous localization based eligible energetic Path_with_Ant Colony optimization (ALEEP with ACO) of the network. Use of IEEE 802.11 standard in proposed work increased packet drop.

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Section: Ant Colony Optimization Using Received Signal Strengthmentioning

confidence: 99%

Event Based Clustering Localized Energy Efficient Ant Colony Optimization (EBC_LEE-ACO) for Performance Enhancement of Wireless Sensor Network

Chavan

Kulkarni²

2018

Eng. Technol. Appl. Sci. Res.

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“…A disadvantage of ant colony algorithm has been presented in Dominguez and Cruz-Corte´s. 5 While selecting the next hop node, the random selection scheduling resulted in selecting the wrong nodes or arriving at the sink node through a long path. In case of the excessive use of node, it compared the residual energy of nodes, and the nodes with low residual energy had less probability to be selected.…”

Section: Related Workmentioning

confidence: 99%

Energy optimization of ant colony algorithm in wireless sensor network

Nie

Qiu

et al. 2017

International Journal of Distributed Sensor Networks

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An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. The proposed algorithm allows each node in wireless sensor network to save the distance and residual energy of neighbor nodes. Furthermore, in terms of probability selection of the nodes and the pheromone update, this algorithm focuses on the next hop node through the comparison of distance between the nodes and the residual energy, which ensures less possibility of nodes with low energy selected as the next hop. Therefore, the proposed algorithm improves energy load balancing, stability of wireless sensor network and, eventually, extends the life span of the wireless sensor network. The simulation results show that the improved ant colony algorithm avoids too much energy consumption of a certain local node resulting in more uniform energy consumption for each node.

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“…Christian Domínguez-Medina and Nareli Cruz-Cortés proposed a protocol [6] maximized network lifetime and minimised latency in data transmissions. The proposed protocol composed of two phases.…”

Section: Related Workmentioning

confidence: 99%

Energy-Efficient and Reliable Routing Protocol for Wireless Sensor Networks

Kumar¹,

Sahu²,

Chauhan³

2012

IJCA

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In WSNs routing of data consumes a lot of energy due to excessive flooding of packets. In the proposed EERP scheme routing is done on the basis of intensity of received signals. Unlike REEP, information packet is forwarded by only one source sensor node. The information packets are forwarded by the sensor node which has the maximum intensity of received signal from the object. Alternate routing paths are also maintained through local flooding. Theoretical analysis and simulation results show that the proposed routing protocol is more energy efficient as compared to other existing protocols such as Directed Diffusion and REEP.

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Energy-efficient and location-aware ant colony based routing algorithms for wireless sensor networks

Cited by 7 publications

References 22 publications

Event Based Clustering Localized Energy Efficient Ant Colony Optimization (EBC_LEE-ACO) for Performance Enhancement of Wireless Sensor Network

Event Based Clustering Localized Energy Efficient Ant Colony Optimization (EBC_LEE-ACO) for Performance Enhancement of Wireless Sensor Network

Energy optimization of ant colony algorithm in wireless sensor network

Energy-Efficient and Reliable Routing Protocol for Wireless Sensor Networks

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