On server allocation in multiple center manufacturing systems
Operations Research
On the optimal allocation of servers and workloads in closed queueing networks
Operations Research
Power management techniques for mobile communication
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Energy-conserving access protocols for identification networks
IEEE/ACM Transactions on Networking (TON)
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Proceedings of the 8th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Near-optimal activation policies in rechargeable sensor networks under spatial correlations
ACM Transactions on Sensor Networks (TOSN)
Uniform sensing protocol for autonomous rechargeable sensor networks
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Challenge: ultra-low-power energy-harvesting active networked tags (EnHANTs)
Proceedings of the 15th annual international conference on Mobile computing and networking
Multi-sensor event detection under temporal correlations with renewable energy sources
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Control of wireless networks with rechargeable batteries
IEEE Transactions on Wireless Communications
Rechargeable sensor activation under temporally correlated events
Wireless Networks
Active time scheduling for rechargeable sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Markov decision process-based analysis of rechargeable nodes in wireless sensor networks
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Energy harvesting active networked tags (EnHANTs) for ubiquitous object networking
IEEE Wireless Communications
Multi-sensor activation for temporally correlated event monitoring with renewable energy sources
International Journal of Sensor Networks
Policy controlled self-configuration in unattended wireless sensor networks
Journal of Network and Computer Applications
Joint mobile energy replenishment and data gathering in wireless rechargeable sensor networks
Proceedings of the 23rd International Teletraffic Congress
Optimal control of batteries with fully and partially available rechargeability
Automatica (Journal of IFAC)
Efficient simulation budget allocation for selecting the best set of simplest good enough designs
Proceedings of the Winter Simulation Conference
IEEE/ACM Transactions on Networking (TON)
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We consider a network of rechargeable sensors, deployed redundantly in a random sensing environment, and address the problem of how sensor nodes should be activated dynamically so as to maximize a generalized system performance objective. The optimal sensor activation problem is a very difficult decision question, and under Markovian assumptions on the sensor discharge/recharge periods, it represents a complex semi-Markov decision problem. With the goal of developing a practical, distributed but efficient solution to this complex, global optimization problem, we first consider the activation question for a set of sensor nodes whose coverage areas overlap completely. For this scenario, we show analytically that there exists a simple threshold activation policy that achieves a performance of at least 3/4 of the optimum over all possible policies. We extend this threshold policy to a general network setting where the coverage areas of different sensors could have partial or no overlap with each other, and show by simulations that the performance of our policy is very close to that of the globally optimal policy. Our policy is fully distributed, and requires the sensor nodes to only keep track of the node activation states in its immediate neighborhood. We also consider the effects of spatial correlation on the performance of the threshold activation policy, and the choice of the optimal threshold.