Low power systems for wireless microsensors
ISLPED '96 Proceedings of the 1996 international symposium on Low power electronics and design
Multicluster, mobile, multimedia radio network
Wireless Networks
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Scalable routing strategies for ad hoc wireless networks
IEEE Journal on Selected Areas in Communications
Determining the optimal configuration for the zone routing protocol
IEEE Journal on Selected Areas in Communications
A mobility-based framework for adaptive clustering in wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
ANMP: ad hoc network management protocol
IEEE Journal on Selected Areas in Communications
Power balanced coverage-time optimization for clustered wireless sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
HUSEC: A heuristic self configuration model for wireless sensor networks
Computer Communications
A biologically-inspired clustering protocol for wireless sensor networks
Computer Communications
Load distribution in daisy chain & two-level d-dimensional tree networks based on power consumption
SEPADS'06 Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems
An Adaptive Data Dissemination Strategy for Wireless Sensor Networks
International Journal of Distributed Sensor Networks - Heterogenous Wireless Ad Hoc and Sensor Networks
International Journal of Network Management
Energy-efficient clustering for ad-hoc transmission in wireless sensor networks
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
Coverage-time optimization for clustered wireless sensor networks: a power-balancing approach
IEEE/ACM Transactions on Networking (TON)
An energy aware, cluster-based routing algorithm for wireless sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Adaptive power-aware clustering and multicasting protocol for mobile ad hoc networks
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
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One of the most critical issues in wireless ad hoc networks is represented by the limited availability of energy within network nodes. Thus, making good use of energy is a must in ad hoc networks. In this paper, we define as network lifetime the time period from the instant when the network starts functioning to the instant when the first network node runs out of energy. Our objective is to devise techniques to maximize the network lifetime in the case of cluster-based systems, which represent a significant sub-set of ad hoc networks. Cluster-based ad hoc networks comprise two types of nodes: cluster-heads and ordinary nodes. Cluster-heads coordinate all transmissions from/to ordinary nodes and forward all traffic in a cluster, either to other nodes in the cluster or to other cluster-heads. In this case, to prolong the network lifetime we must maximize the lifetime of the cluster-heads because they are the critical network element from the energy viewpoint. We propose an original approach to maximize the network lifetime by determining the optimal assignment of nodes to cluster-heads. Given the number of cluster-heads, the complexity of the proposed solution grows linearly with the number of network nodes. The network topology is assumed to be either static or slowly changing. Two working scenarios are considered. In the former, the optimal network configuration from the energy viewpoint is computed only once; in the latter, the network configuration can be periodically updated to adapt to the evolution of the cluster-heads energy status. In both scenarios, the presented solution greatly outperforms the standard assignment of nodes to cluster-heads, based on the minimum transmission power criterion.