The key idea of our Energy Efficiency management is to use the exchange between energy consumption vs the gain in responsibility, timeliness, and security to maximize the system helpful time period. we tend to formulate the exchange as Associate in Nursing optimization downside for dynamically crucial the most effective redundancy level to use to multipath routing for intrusion tolerance so the question response success likelihood is maximized whereas prolonging the helpful time period. Moreover, we think about this optimization downside for the case during which a voting-based distributed intrusion detection formula is applied to sight and evict malicious nodes during a HWSN. we over see to develop a novel likelihood model to investigate the most effective redundancy level in terms of path redundancy and supply redundancy, further because the best intrusion detection settings in terms of the amount of voters and the intrusion invocation interval below that the time period of a HWSN is maximized. we over see to then apply the analysis results obtained to the planning of a dynamic redundancy management formula to identify and apply the most effective style parameter settings at runtime in response to environmental changes, to maximize the HWSN lifetime.