Guest Editorial: Special Section on Mission-Oriented Sensor Networks
IEEE Transactions on Mobile Computing
Purposeful Mobility for Relaying and Surveillance in Mobile Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Stochastic properties of the random waypoint mobility model
Wireless Networks
Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
A Survey of Opportunistic Networks
AINAW '08 Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops
The ONE simulator for DTN protocol evaluation
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Stochastic k-Coverage in Wireless Sensor Networks
WASA '09 Proceedings of the 4th International Conference on Wireless Algorithms, Systems, and Applications
Heuristic search based exploration in reinforcement learning
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A post-disaster mobility model for delay tolerant networking
Winter Simulation Conference
Policy controlled self-configuration in unattended wireless sensor networks
Journal of Network and Computer Applications
Mission-oriented k-coverage in mobile wireless sensor networks
ICDCN'10 Proceedings of the 11th international conference on Distributed computing and networking
Bio-inspired group mobility model for mobile ad hoc networks based on bird-flocking behavior
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Bio-inspired Computing for Hybrid Information Technology
On the problem of k-coverage in mission-oriented mobile wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
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Mission-oriented networks change the network communications paradigm with the involvement of human beings in the network. In a mission-oriented network, nodes may exhibit purposeful mobility in order to achieve mission goals. Additionally, human beings, unlike simple sensor nodes, have innate intelligence and context awareness, which help them in making better decisions. In this work, we consider a specific mission-oriented network -- a post-disaster rescue scenario with human rescue workers. We define external nodes as a set of stationary nodes (representing victims, relief camps, and control centers), who require communication opportunities. We propose four simple, intuition-based schemes to model human intelligence, which imparts purposeful mobility to the internal nodes (representing rescue workers). Such mobility in the network is guaranteed through opportunistic contacts among the mobile nodes. Our results show that the number of contact opportunities with stationary nodes increases under such purposeful mobility schemes as compared to the Random Waypoint (RWP) mobility model.