A guide to simulation (2nd ed.)
A guide to simulation (2nd ed.)
Low power signal processing architectures for network microsensors
ISLPED '97 Proceedings of the 1997 international symposium on Low power electronics and design
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
An architecture for building self-configurable systems
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Mobile Cellular Telecommunications Systems
Mobile Cellular Telecommunications Systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks
Cluster Computing
PicoRadio: Ad-Hoc Wireless Networking of Ubiquitous Low-Energy Sensor/Monitor Nodes
WVLSI '00 Proceedings of the IEEE Computer Society Annual Workshop on VLSI (WVLSI'00)
Energy-Aware Routing in Cluster-Based Sensor Networks
MASCOTS '02 Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies
IEEE Transactions on Mobile Computing
Distributed low-cost backbone formation for wireless ad hoc networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Novel self-configurable positioning technique for multihop wireless networks
IEEE/ACM Transactions on Networking (TON)
Connected sensor cover: self-organization of sensor networks for efficient query execution
IEEE/ACM Transactions on Networking (TON)
TAP: Traffic-aware topology control in on-demand ad hoc networks
Computer Communications
CLTC: A Cluster-Based Topology Control Framework for Ad Hoc Networks
IEEE Transactions on Mobile Computing
Query Processing in Sensor Networks
IEEE Pervasive Computing
An iterative distributed algorithm for multi-constraint multicast routing
Computer Communications
A Cross-Layer Strategy for Energy-Efficient Reliable Delivery in Wireless Sensor Networks
IEEE Transactions on Wireless Communications
On credibility of simulation studies of telecommunication networks
IEEE Communications Magazine
IEEE Communications Magazine
A peer-to-peer zone-based two-level link state routing for mobile ad hoc networks
IEEE Journal on Selected Areas in Communications
'Ripples': message-efficient, coverage-aware clustering in wireless sensor and actor networks
International Journal of Communication Networks and Distributed Systems
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The Network State Beacons (NSB) exchange rate is the critical parameter in monitoring the dynamic state of any self-configuring ad hoc sensor network. Along with the network state and the overhead control traffic, it determines both the time and nature of any proactive reconfiguration activity that is necessary to counteract any degradation in network performance. While traditionally selected at random, this rate of beacon exchange significantly affects the accuracy with which the variations in network state are tracked. It is therefore imperative to adapt this rate to the variation in load profile and attempt to maintain its value within predefined bounds which can be optimised to keep the network operating quiescently, while conforming to its various Quality-of-Service (QoS) requirements. This paper presents a novel, heuristic self-configuration (HUSEC) model which addresses this optimisation problem. The simulation results confirm that the model reconfigures the network more effectively to not only achieve higher throughput, but also greater network integrity, with minimal control traffic and resource overheads.