The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
An adaptive energy-efficient MAC protocol for wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
System Lifetime Optimization for Heterogeneous Sensor Networks with a Hub-Spoke Topology
IEEE Transactions on Mobile Computing
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Uncertainty-aware and coverage-oriented deployment for sensor networks
Journal of Parallel and Distributed Computing
PEDAMACS: Power Efficient and Delay Aware Medium Access Protocol for Sensor Networks
IEEE Transactions on Mobile Computing
Adaptive Localized QoS-Constrained Data Aggregation and Processing in Distributed Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
SyncWUF: An Ultra Low-Power MAC Protocol for Wireless Sensor Networks
IEEE Transactions on Mobile Computing
IEEE Transactions on Parallel and Distributed Systems
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
How many sensors for an acceptable breach detection probability?
Computer Communications
Optimal and suboptimal packet scheduling over correlated time varying flat fading channels
IEEE Transactions on Wireless Communications
Coverage by randomly deployed wireless sensor networks
IEEE Transactions on Information Theory
Surveillance Wireless Sensor Networks: Deployment Quality Analysis
IEEE Network: The Magazine of Global Internetworking
Energy and delay optimized contention for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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It is quite common to see that classical periodic or Poisson packet traffic models are used for evaluating the performance of wireless sensor networks (WSNs). However, these models may not be appropriate for modeling the data traffic resulting from a particular application. Furthermore, they may be overestimating the performance of a WSN. In this paper, we show the significance of using a realistic and application-specific packet traffic model by comparing the performance of a well-known WSN protocol under the Surveillance WSN packet traffic model (SPTM), as well as under periodic and binomial traffic models. A packet traffic framework specific to surveillance applications is proposed which is then used for deriving SPTM analytically. In order to be adaptable and flexible, SPTM incorporates a probabilistic and parametric sensor detection model. Simulation results show that to employ an application-specific packet traffic model has significant impact on the performance evaluation of the WSN and ordinary traffic models may overestimate the capacity of the WSN.