Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
The vehicle routing problem
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks
WMCSA '02 Proceedings of the Fourth IEEE Workshop on Mobile Computing Systems and Applications
Impact of Network Density on Data Aggregation in Wireless Sensor Networks
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Ant Colony Optimization
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Balancing energy efficiency and quality of aggregate data in sensor networks
The VLDB Journal — The International Journal on Very Large Data Bases
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Data aggregation in wireless sensor networks using ant colony algorithm
Journal of Network and Computer Applications
Minimizing effective energy consumption in multi-cluster sensor networks for source extraction
IEEE Transactions on Wireless Communications
Computing Localized Power-Efficient Data Aggregation Trees for Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Design and analysis of an MST-based topology control algorithm
IEEE Transactions on Wireless Communications
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
A centralized energy-efficient routing protocol for wireless sensor networks
IEEE Communications Magazine
Foreword: Special Issue on Multidisciplinary Emerging Networks and Systems
Journal of Computer and System Sciences
A multi-objective ant colony system algorithm for virtual machine placement in cloud computing
Journal of Computer and System Sciences
An improved free search approach for energy optimization in wireless sensor networks
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
ELACCA: Efficient Learning Automata Based Cell Clustering Algorithm for Wireless Sensor Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
In energy-constrained wireless sensor networks, energy efficiency is critical for prolonging the network lifetime. A family of ant colony algorithms called DAACA for data aggregation are proposed in this paper. DAACA consists of three phases: initialization, packets transmissions and operations on pheromones. In the transmission phase, each node estimates the remaining energy and the amount of pheromones of neighbor nodes to compute the probabilities for dynamically selecting the next hop. After certain rounds of transmissions, the pheromones adjustments are performed, which take the advantages of both global and local merits for evaporating or depositing pheromones. Four different pheromones adjustment strategies which constitute DAACA family are designed to prolong the network lifetime. Experimental results indicate that, compared with other data aggregation algorithms, DAACA shows higher superiority on average degree of nodes, energy efficiency, prolonging the network lifetime, computation complexity and success ratio of one hop transmission. At last, the features of DAACA are analyzed.