Routing (electronic design automation)

Algorithm

Wireless sensor network

Key distribution in wireless sensor networks

Engineering

Efficient energy use

Ant colony optimization algorithms

Data aggregator

Telecommunications

Particle swarm optimization

Computer science

Mathematical optimization

Protocol (science)

Distributed computing

Computer network

Alternative medicine

Routing protocol

Mathematics

Meta heuristic

Mathematical analysis

Artificial intelligence

Heuristic

Cluster analysis

Tree (set theory)

Medicine

Wireless

Mobile wireless sensor network

Wireless network

Electrical engineering

Pathology

Egyptian Informatics Journal

Energy efficiency has recently turned out to be primary issue in wireless sensor networks. Sensor networks are battery powered, therefore become dead after a certain period of time. Thus, improving the data dissipation in energy efficient way becomes more challenging problem in order to improve the lifetime for sensor devices. The clustering and tree based data aggregation for sensor networks can enhance the network lifetime of wireless sensor networks. Hybrid Ant colony optimization (ACO) and particle swarm optimization (PSO) based energy efficient clustering and tree based routing protocol is proposed. Initially, clusters are formed on the basis of remaining energy, then, hybrid ACOPSO based data aggregation will come in action to improve the inter-cluster data aggregation further. Extensive analysis demonstrates that proposed protocol considerably enhances network lifetime over other techniques.

Hybrid meta-heuristic optimization based energy efficient protocol for wireless sensor networks