Adaptive Peer-to-Peer Agent Sensor Networks

We present an agent-based, adaptive peer-to-peer, hybrid architectural approach for sensor networks to address some of the challenges and needs presented in net-centric, field-deployed, or soldier-walk-and-drop ad-hoc sensor networks. The proposed Adaptive Peer-to-Peer Agent Architecture (APPA) combines the benefits of adaptive peer-to-peer, agent-based, and serviceoriented architectures to address the survivability, robustness, performance, flexibility, scalability, and support of federated services across sensor groups in sensor networks. The APPA enables dynamic self-configuration of independent, but cooperating agents. These agents work as service proxies for sensors to proactively use each others’ agent context information to cooperate and coordinate sensors for task allocations and task or agent migration using its mobile and agent architecture. The intended goal is to meet some of the unique challenges as anticipated in a dynamic, small-team echelon in battlefield. The purpose is to provide context-driven situational awareness to help command and control commanders in decision-making. The APPA is built on Lockheed Martin Advanced Technology Laboratories’ previously proven mobile agent technology and extended with peer-to-peer capability, service-oriented architecture, and recent advances in market-based team formation and Distributed Constraint Optimization Problem (DCOP) [17, 18, 20, 22].

[1]  Jeffrey J. P. Tsai,et al.  A Distributed Cooperative Agents Architecture for Software Development , 1991, The Next Generation of Information Systems.

[2]  M. Bahl,et al.  Evolving intelligent interexchange network-an SS7 perspective , 1992 .

[3]  Uyless Black.  ISDN and SS7: architectures for digital signaling networks , 1997 .

[4]  Jennifer S. Kay,et al.  The ATL Postmaster: a system for agent collaboration and information dissemination , 1998, AGENTS '98.

[5]  Paul D. Ezhilchelvan,et al.  A dependable distributed auction system: architecture and an implementation framework , 2001, Proceedings 5th International Symposium on Autonomous Decentralized Systems.

[6]  Kenneth R. Whitebread,et al.  CAST Agents : Network-Centric Fires Unleashed , 2002 .

[7]  Milind Tambe,et al.  Distributed Sensor Networks: A Multiagent Perspective , 2003 .

[8]  Anupriya Ankolekar,et al.  Automated discovery, interaction and composition of Semantic Web services , 2003, J. Web Semant..

[9]  Xiang Ji,et al.  Sensor positioning in wireless ad-hoc sensor networks using multidimensional scaling , 2004, IEEE INFOCOM 2004.

[10]  Victor R. Lesser,et al.  Solving distributed constraint optimization problems using cooperative mediation , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[11]  Milind Tambe,et al.  Taking DCOP to the real world: efficient complete solutions for distributed multi-event scheduling , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[12]  Anna L. Buczak,et al.  Dynamic Agent Composition from Semantic Web Services , 2004, SWDB.

[13]  Holger Karl,et al.  Consistency challenges of service discovery in mobile ad hoc networks , 2004, MSWiM '04.

[14]  Boi Faltings,et al.  A Scalable Method for Multiagent Constraint Optimization , 2005, IJCAI.

[15]  Paul J.M. Havinga,et al.  Wireless Sensor Networks and Beyond: A Case Study on Transport and Logistics , 2005 .

[16]  Milind Tambe,et al.  Preprocessing techniques for accelerating the DCOP algorithm ADOPT , 2005, AAMAS '05.

[17]  Makoto Yokoo,et al.  Adopt: asynchronous distributed constraint optimization with quality guarantees , 2005, Artif. Intell..

[18]  Kshanti A. Greene,et al.  Coordinating Busy Agents Using a Hybrid Clustering-Auction Approach , 2006 .

[19]  Craig F. Smith,et al.  Web Ontology Language for Services , 2006 .

[20]  Luca Lombardi,et al.  Challenges for Data Mining in Distributed Sensor Networks , 2006, 18th International Conference on Pattern Recognition (ICPR'06).