Primal-dual interior-point methods
Primal-dual interior-point methods
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Introduction to Linear Optimization
Introduction to Linear Optimization
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
A wireless sensor network For structural monitoring
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Using mobile relays to prolong the lifetime of wireless sensor networks
Proceedings of the 11th annual international conference on Mobile computing and networking
Data gathering tours in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Maximizing the functional lifetime of sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Maximizing system lifetime in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
An Online Heuristic for Maximum Lifetime Routing in Wireless Sensor Networks
IEEE Transactions on Computers
Maximizing lifetime for data aggregation in wireless sensor networks
Mobile Networks and Applications
On node lifetime problem for energy-constrained wireless sensor networks
Mobile Networks and Applications
Boundary recognition in sensor networks by topological methods
Proceedings of the 12th annual international conference on Mobile computing and networking
Maximum lifetime rate control and random access in multi-hop wireless networks
Computer Communications
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Agimone: middleware support for seamless integration of sensor and IP networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
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A wireless sensor network is often deployed for environment monitoring and event inspection. Among these applications, the sink of the network usually requires the data generated on each sensor node periodically, and such a network is called a data-gathering sensor network. In each round of the data gathering process, a sensor node sends its reading via a single-hop or multi-hop path to the sink. Because the sensor nodes are usually battery-powered with limited energy, efficient routing strategy is required to reduce and balance the energy consumption of the sensor nodes in data transmission. This paper studies the problem of maximizing the lifetime of a data-gathering sensor network, which is defined as the number of rounds until the first node depletes its energy. We prove that the problem is NP-Complete, and then formulate it as an integer program to get close to optimality. We further propose a polynomial-time and provably near optimal algorithm to reduce the tremendous computation and storage cost of the integer program. Finally, we evaluate the efficiency of our algorithms by extensive experiments.