Maximum flow-life curve for a wireless ad hoc network
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Proceedings of the 8th annual international conference on Mobile computing and networking
A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
TEEN: ARouting Protocol for Enhanced Efficiency in Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Topology control for wireless sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
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 Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
Optimal Base-Station Locations in Two-Tiered Wireless Sensor Networks
IEEE Transactions on Mobile Computing
QoM and lifetime-constrained random deployment of sensor networks for minimum energy consumption
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Scheduling sleeping nodes in high density cluster-based sensor networks
Mobile Networks and Applications
General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies
IEEE Transactions on Mobile Computing
QoS and energy aware routing for real-time traffic in wireless sensor networks
Computer Communications
Energy aware multi-path routing for uniform resource utilization in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Murphy loves potatoes: experiences from a pilot sensor network deployment in precision agriculture
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Prolonging the lifetime of wireless sensor networks by cross-layer interaction
IEEE Wireless Communications
Distributed algorithms for maximum lifetime routing in wireless sensor networks
IEEE Transactions on Wireless Communications
Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy Systems
Review: A survey on cross-layer solutions for wireless sensor networks
Journal of Network and Computer Applications
Network management framework and lifetime evaluation method for wireless sensor networks
Integrated Computer-Aided Engineering
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Network lifetime is a novel performance metric which is derived in need to evaluate the networks that are composed of nodes with non-replenishable energy sources. Wireless Sensor Networks (WSNs) are the primary examples of such networks, in which elongating the network lifetime is the main concern. Optimal WSN design is highly dependent on the application scenario context. Correct quantification of the application specific network lifetime is a must to further optimize the design or to comparatively evaluate the proposed schemes - e.g. a legacy layered design vs. a cross-layer implementation. However, in practice, we observe that the focus is given on proposing sophisticated schemes to increase the energy efficiency, whereas only rudimentary lifetime metrics are employed to evaluate the outcome of this effort which compromises the correctness of the results. To realistically and correctly quantify the lifetime, we propose a utility based lifetime measurement framework called Weighted Cumulative Operational Time (WCOT). WCOT lets users incorporate the application dependence into the lifetime metric through its utility based interface. WCOT performs a weighted summation of time where utility values are the weights. With this mechanism, a more representative lifetime metric which maps the complete network behavior into a numeric value is obtained. This is in contrast with metrics which focus solely on certain milestones of the network functionality to quantify the lifetime which include the first node death, the last node death.