Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Topology management for sensor networks: exploiting latency and density
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Optimal and Energy-Balanced Sorting in a Single-Hop Wireless Sensor Network
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Energy-aware data-centric routing in microsensor networks
MSWIM '03 Proceedings of the 6th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Network coverage using low duty-cycled sensors: random & coordinated sleep algorithms
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy Efficient Protocols for Sensing Multiple Events in Smart Dust Networks
ANSS '04 Proceedings of the 37th annual symposium on Simulation
ANSS '04 Proceedings of the 37th annual symposium on Simulation
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
On k-coverage in a mostly sleeping sensor network
Proceedings of the 10th annual international conference on Mobile computing and networking
Wireless sensor networks protocols for efficient collision avoidance in multi-path data propagation
PE-WASUN '04 Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
Efficient and robust protocols for local detection and propagation in smart dust networks
Mobile Networks and Applications
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures
An adaptive and low-latency power management protocol for wireless sensor networks
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
Journal of Parallel and Distributed Computing
Efficient data propagation strategies in wireless sensor networks using a single mobile sink
Computer Communications
On attack-resilient wireless sensor networks with novel recovery strategies
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Power-aware data dissemination protocols in wireless sensor networks
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Efficient and robust data dissemination using limited extra network knowledge
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
A random backoff algorithm for wireless sensor networks
NEW2AN'06 Proceedings of the 6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
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We introduce a new modelling assumption in wireless sensor networks, that of node redeployment (addition of sensor devices during the protocol evolution) and we extend the modelling assumption of heterogeneity (having sensor devices of various types). These two features further increase the highly dynamic nature of such networks and adaptation becomes a powerful technique for protocol design. Under this model, we design, implement and evaluate a power conservation scheme for efficient data propagation. Our protocol is adaptive: it locally monitors the network conditions (density, energy) and accordingly adjusts the sleep-awake schedules of the nodes towards best operation choices. Our protocol operates does not require exchange of control messages between nodes to coordinate.Implementing our protocol we combine it with two well-known data propagation protocols and evaluate the achieved performance through a detailed simulation study using our extended version of Ns2. We focus in highly dynamic scenarios with respect to network density, traffic conditions and sensor node resources. We propose a new general and parameterized metric capturing the trade-off between delivery rate, energy efficiency and latency. The simulation findings demonstrate significant gains (such as more than doubling the success rate of the well-known Directed Diffusion propagation paradigm) and good trade-offs. Furthermore, redeployment of sensors during network evolution and/or heterogeneous deployment of sensors drastically improve (when compared to equal total "power" simultaneous deployment of identical sensors at the start) the protocol performance (the success rate increases up to four times while reducing energy dissipation and, interestingly, keeping latency low).