Abstract:

Wireless sensor networks are severely energy-constrained. One of the key challenges of sensor networks is to maximize the lifetime. It is a hard work  and many heuristic algorithms are proposed. However, few of them take energy consumed by receiving data into account, which cannot be ignored in many co nditions. Therefore, we propose a genetic al- gorithm to solve the lifetime optimization problem which considers the energy consumed by receiving data,a nd show its effi- ciency by experiments.

Key words: sensor network, lifetime optimization, algorithm, BaGASN