Sensor networks are commonly used for security and surveillance applications. As sensor nodes have limited battery power, computing, and storage resources, the energy efficient security techniques are needed.
We provide a new heuristic approach to search for balanced and small weight routing spanning trees in a network. The approach is a modification of Kruskal’s minimum spanning tree (MST) search algorithm and is based on a distributed search by hierarchical clusters. It provides spanning trees with a lower maximum degree, a bigger diameter and can be used for balanced energy consumption routing in wireless sensor networks (WSNs). The approach can be implemented in parallel as well as a simple locally distributed algorithm.
Simulations of a realistic scenario WSN are done based on the transmission energy matrix. The simulation results show that the proposed approach can extend the functional lifetime of a WSN in 3-4 times in terms of sensor transmission energy. Possible preliminary clustering of the input network is considered as well.
Authors: Andrei Gagarin, Sajid Hussain, Laurence T. Yang
Source: Acadia University
- Energy Efficient Virtual MIMO Communication for Wireless Sensor Networks
- Agent-based peer-to-peer layered architecture for data transfer in Wireless Sensor Networks
- Simple JAVA Search Engine
- Intelligent Energy Saving System
- Temperature sensor based Home Security System
- Piezoelectric Energy Harvesting Devices for Recharging Batteries
- A comparison of power harvesting techniques and related energy storage issues