원문정보
초록
영어
A Wireless Sensor Network (WSN) is a network of distributed sensors that can collect information from a physical environment. Low-cost sensors are the backbone of a WSN. Maximizing the lifetime of sensor networks is the main challenge of a Wireless Sensor Network (WSN), such as the sensor node of the network needs to be prepared with limited battery power. This paper focuses on finding the optimal sink position. Relay nodes have been introduced in conjunction with the sensor nodes to mitigate network geometric deficiencies since in most other approaches the sensor nodes close to the sink become heavily involved in data forwarding and, thus, their batteries are quickly depleted. A Biogeography-Based Optimization (BBO) algorithm is used to locate the optimal sink position with respect to those relay nodes to make the network more energy efficient. The relay nodes communicate with the sink instead of the sensor nodes. Tests show that this approach can save at least 40% of the energy and prolong the network lifetime.
목차
1. Introduction
2. Related Work
3. Introduction to Biogeography-Based Optimization
3.1. Standard Unconstrained BBO Algorithm
3.2. Set of Neighbors’ of Node i
3.3. Set of Neighbors of the Sink
3.4. Calculation of Hop-Count
3.5. Finding the Optimal Link
3.6 Energy Consumption of Each Link
3.7. Energy Consumption of Each Node
3.8 Lifetime of node i
3.9. Fitness Function
4. Simulation of Results
5. Conclusion
References