Lifetime aware resource management for sensor network using distributed genetic algorithm
Proceedings of the 2006 international symposium on Low power electronics and design
ANSWER: AutoNomouS netWorked sEnsoR system
Journal of Parallel and Distributed Computing
Profile-matching techniques for on-demand software management in sensor networks
EURASIP Journal on Wireless Communications and Networking
A survey on clustering algorithms for wireless sensor networks
Computer Communications
A bio-inspired architecture for division of labour in SANETs
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Approximation Algorithms for the Max-Min Allocation Problem
APPROX '07/RANDOM '07 Proceedings of the 10th International Workshop on Approximation and the 11th International Workshop on Randomization, and Combinatorial Optimization. Algorithms and Techniques
Journal of Parallel and Distributed Computing
Topology-aware optimal task allocation for publish/subscribe-based mission critical environment
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
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Sensor networks have recently gained a lot of attention fromthe research community. Sensors are significantly resource-constraineddevices and last till the depletion of theirbatteries. Sensor networks typically have a large number ofnodes. To ensure scalability sensor networks are oftenpartitioned into clusters, each managed by a cluster head(gateway). Efficient management of a sensor network forextending the lifetime of the network is among the prominentareas of research in this domain. While most of the previousresearch focused on the optimal use of sensor's energy, verylittle attention has been paid to the efficiency of energy usageat the gateway. Tasks need to be allocated to gateways insuch a way that maximizes the life of these cluster-heads andeventually the whole network. In this paper, we present anoptimization scheme for task allocation to gateways. The taskallocation problem is modeled as a zero-one nonlinearprogram. Simulation results show that substantial energysavings can be obtained with the proposed method.