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An Architecture for Energy Management in Wireless Sensor Networks Xiaofan Jiang , Jay Taneja , Jorge Ortiz , Arsalan Tavakoli , Prabal Dutta , Jaein Jeong , David Culler , Philip Levis ¡ , and Scott Shenker UC Berkeley EECS Dept. ¡ Stanford CS Dept. Berkeley, California 94720 Stanford, California 94305 Arch Rock Corporation San Francisco, California 94105 Introduction EMA Energy Manager Specification User Policy Application Enforcement Mechanisms Sensornets are becoming more widely adopted for commercial and scienti c use and, in settings where battery replacement or recharging is dif cult, it is important that sensornets have long and predictable lifetimes. We thus expect energy management to play an increasingly important role in meeting user requirements. Today, system developers seek a balance between network lifetime and performance, but recent history shows that unexpected and dynamic environmental conditions often scuttle expected energy budgets. For example, many nodes in the Great Duck Island deployment were conjectured to have died prematurely because unexpected overhearing of traf c caused radios to become operational for longer than originally predicted [22]. This pattern was repeated in the Redwoods deployment, but for a supposedly different reason: some nodes seemingly died prematurely because they became disconnected

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