TY - GEN
T1 - Agent-based, energy efficient routing in sensor networks
AU - Gan, Long
AU - LIU, Jiming
AU - Jin, Xiaolong
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - Amorphous computing aims at discovering new approaches for programming and controlling vast number of computational entities. So far, most related studies are mainly on the problem of pattern formation. However, there still remains a great challenge: how to enable amorphous entities to handle computationally hard problems? In order to tackle this challenge, we propose to take the energy efficient routing problem in sensor networks as a special topic for study, due to the similar characteristics of sensor nodes and amorphous entities. In the paper, each data packet sent from a source node is carried by an autonomous mobile data agent, which can make its own routing decision based on its local information. Moreover, we propose a novel data routing idea on energy efficient route choosing. Simulation results demonstrate that our routing schemes based on the proposed idea can achieve a better performance of energy load balancing in the network, and a shorter time delay for data agents to travel from a source to a sink than other schemes discussed in the paper. Furthermore, by endowing the data agents with some intelligence, data aggregation can be performed locally and dynamically during their transmissions in sensor networks.
AB - Amorphous computing aims at discovering new approaches for programming and controlling vast number of computational entities. So far, most related studies are mainly on the problem of pattern formation. However, there still remains a great challenge: how to enable amorphous entities to handle computationally hard problems? In order to tackle this challenge, we propose to take the energy efficient routing problem in sensor networks as a special topic for study, due to the similar characteristics of sensor nodes and amorphous entities. In the paper, each data packet sent from a source node is carried by an autonomous mobile data agent, which can make its own routing decision based on its local information. Moreover, we propose a novel data routing idea on energy efficient route choosing. Simulation results demonstrate that our routing schemes based on the proposed idea can achieve a better performance of energy load balancing in the network, and a shorter time delay for data agents to travel from a source to a sink than other schemes discussed in the paper. Furthermore, by endowing the data agents with some intelligence, data aggregation can be performed locally and dynamically during their transmissions in sensor networks.
UR - http://www.scopus.com/inward/record.url?scp=4544316330&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:4544316330
SN - 1581138644
T3 - Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
SP - 472
EP - 479
BT - Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagents Systems, AAMAS 2004
A2 - Jennings, N.R.
A2 - Sierra, C.
A2 - Sonenberg, L.
A2 - Tambe, M.
T2 - Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
Y2 - 19 July 2004 through 23 July 2004
ER -