Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Optimal Base-Station Locations in Two-Tiered Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Relay Node Placement in Wireless Sensor Networks
IEEE Transactions on Computers
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
Pervasive and Mobile Computing
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution
IEEE Transactions on Parallel and Distributed Systems
On the lifetime of wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
A Novel Routing Protocol in Wireless Sensor Networks Based on Ant Colony Optimization
ESIAT '09 Proceedings of the 2009 International Conference on Environmental Science and Information Application Technology - Volume 02
AntNet: distributed stigmergetic control for communications networks
Journal of Artificial Intelligence Research
Relay Node Deployment Strategies in Heterogeneous Wireless Sensor Networks
IEEE Transactions on Mobile Computing
Constrained relay node placement in wireless sensor networks: formulation and approximations
IEEE/ACM Transactions on Networking (TON)
Computer Networks: The International Journal of Computer and Telecommunications Networking
A strategic deployment and cluster-header selection for wireless sensor networks
IEEE Transactions on Consumer Electronics
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In wireless sensor networks (WSNs), all the data collected by the sensor nodes are forwarded to a sink node. Therefore, the placement of the sink node has a great impact on the energy consumption and lifetime of WSNs. This paper investigates the energy-oriented and lifetime-oriented sink node placement strategies in the single-hop and multiple-hop WSNs, respectively. The energy-oriented strategy considers only the minimizing of the total energy consumption in the networks, while the lifetime-oriented strategy focuses much more on the lifetime of the nodes which consume energy fastest. Using a routing-cost based ant routing algorithm, we evaluate the performances of different placement strategies in the networks. Simulation results show that the networks with lifetime-oriented strategy achieve a significant improvement on network lifetime.