Highly dynamic Destination-Sequenced Distance-Vector routing (DSDV) for mobile computers
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Ant-based load balancing in telecommunications networks
Adaptive Behavior
An efficient routing protocol for wireless networks
Mobile Networks and Applications - Special issue: routing in mobile communications networks
Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A distributed mechanism for topology discovery in ad hoc wireless networks using mobile agents
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Communications Systems Driven by Software Agent Technology
Journal of Network and Systems Management
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
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Supporting high volume of data transmission in a highly dynamic architecture like Mobile Ad hoc Networks (MANET) still remains a major point of research. In this paper, we have attempted to address the issue of managing an uninterrupted connection between a source and a destination through multiple paths in a temporal domain. We have developed an agent-centric protocol that would accomplish uninterrupted communication over adaptively selected routes. The protocol ensures minimal consumption of network resources. We have organized this work in two logical steps. In the first part, we have described an agent-based framework with its associated protocols and mechanisms. The primary objective of this mobile multiagent framework is to make all nodes in the system topology-aware. We have used the GPS (Global Positioning System) support at each node for the extraction of geographical coordinates, velocity, and direction of movement of each node. The second part of the work attempts to make use of this topology awareness in the context of establishing and managing a connection between two nodes. The agent-enabled proactive replenishment of fresh topology information enables each node to constantly evaluate network conditions and to take decisions on adaptive route selection.