Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
ARA - The Ant-Colony Based Routing Algorithm for MANETs
ICPPW '02 Proceedings of the 2002 International Conference on Parallel Processing Workshops
ON ENERGY EFFICIENCY AND NETWORK CONNECTIVITY OF MOBILE AD HOC NETWORKS
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Wireless Networks
Maximizing Battery Life Routing in Wireless Ad Hoc Networks
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
Ant Colony Optimization
Finding minimum energy disjoint paths in wireless ad-hoc networks
Wireless Networks - Special issue: Selected papers from ACM MobiCom 2003
Routing in Ad Hoc Networks of Mobile Hosts
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
Journal of Systems and Software
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Primitive routing protocols for ad-hoc networks are ''power hungry'' and can therefore consume considerable amount of the limited amount of battery power resident in the nodes. Thus, routing in ad-hoc networks is very much energy-constrained. Continuous drainage of energy degrades battery performance as well. If a battery is allowed to intermittently remain in an idle state, it recovers some of its lost charge due to the charge recovery effect, which, in turn, results in prolonged battery life. In this paper, we use the ideas of naturally occurring ants' foraging behavior (Dorigo and Stuetzle, 2004) [1] and based on those ideas, we design an energy-aware routing protocol, which not only incorporates the effect of power consumption in routing a packet, but also exploits the multi-path transmission properties of ant swarms and, hence, increases the battery life of a node. The efficiency of the protocol with respect to some of the existing ones has been established through simulations. It has been observed that the energy consumed in the network, the energy per packet in the case of EAAR are 60% less compared to MMBCR and the packets lost is only around 12% of what we have in AODV, in mobility scenarios.