Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Towards realistic mobility models for mobile ad hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Self-organization in sensor networks
Journal of Parallel and Distributed Computing
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Self organization in mobile ad hoc networks: the approach of Terminodes
IEEE Communications Magazine
IEEE Communications Magazine
Mesh networks: commodity multihop ad hoc networks
IEEE Communications Magazine
Self-organization in communication networks: principles and design paradigms
IEEE Communications Magazine
On the design of self-organized cellular wireless networks
IEEE Communications Magazine
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In this work, the connectivity of a static wireless network is studied in the presence of overlaying mobile nodes. The impact of topology changes on the connectivity of an ad hoc wireless network is investigated, where topology changes occur due to node failures. To this end, first, the failure pattern of the static nodes is modeled, then the benefit of having self-organizing capabilities in a wireless network is studied in the presence of several failure patterns. It is shown that the failure pattern of the nodes has a significant impact on the connectivity of the network and having self-organizing capabilities is essential in utilizing wireless networks. Then, the joint impact of an overlaying mobile network and self-organization on the connectivity of a wireless network is studied. The results show that the deployed wireless network can continue to operate even with more than 30% node failure via self-organization and the duty of several failed static nodes can be shared by a very few number of mobile nodes instead of replacing all failed static nodes, extending the network lifetime and improving the utilization of the network significantly.