Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Monte Carlo Statistical Methods (Springer Texts in Statistics)
Monte Carlo Statistical Methods (Springer Texts in Statistics)
A MAC Protocol to Reduce Sensor Network Energy Consumption Using a Wakeup Radio
IEEE Transactions on Mobile Computing
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
Energy efficiency of large-scale wireless networks: proactive versus reactive networking
IEEE Journal on Selected Areas in Communications
Decentralized learning in wireless sensor networks
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
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One of the major concerns in wireless sensor networks is improving the network lifetime. In this paper, we investigate the node density impact on network lifetime. We show that the average amount of energy required to report an event to the sink decreases when wireless sensor node density increases. Moreover, we show that network lifetime increases faster than network density. Based on this result, we derive the minimal number of wireless sensor nodes required to supervise a given area during a given period. Finally, we show that these nodes must be deployed at the same time and not over different deployment phases.