Bio-inspired energy scavenging in wireless ad hoc network

Wireless ad hoc network differs from traditional network in terms of energy constraint of battery-backed devices. In most of the situation, wireless nodes operate on powered batteries without human intervention and have limited computation and energy capabilities. Very limited work has been conducted on energy harvesting approach for sustainanble energy management for networks where human intervention is undesirable. Moreover existing work on matured solar energy harvesting is not desirable for indoor shadowy networks and other potential energy sources are not mature for existing work. This study will propose animal behavior based environmental energy harvesting for wireless ad hoc networks. The proposed sustainable energy property yields better lifetime and self-healing capabilities in wireless ad hoc networks. This focuses on animal behavior algorithms to overcome the issues of poor energy management in wireless ad hoc networks. With this, bird foraging behavior on central place foraging (CPF) analogous to energy harvesting from the environment using central place foraging approach is proposed with detailed mapping. The given bio-inspired mechanism provides a self-healing mechanism for sustainable energy management yielding longer lifetime in ad hoc wireless networks.

[1]  J Olivo,et al.  Energy Harvesting and Remote Powering for Implantable Biosensors , 2011, IEEE Sensors Journal.

[2]  E. Mayr.  Cause and effect in biology. , 1961, Science.

[3]  Juan Moreno,et al.  Central place foraging in wheatears (Oenanthe oenanthe L.): foraging itineraries when feeding nestlings , 2004, Behavioral Ecology and Sociobiology.

[4]  E. Mayr.  Cause and Effect in Biology: Kinds of causes, predictability, and teleology are viewed by a practicing biologist , 1961 .

[5]  H. Godfray.  Signaling of Need between Parents and Young: Parent-Offspring Conflict and Sibling Rivalry , 1995, The American Naturalist.

[6]  Miguel A. Rodríguez-Gironés,et al.  Feeding experience and relative size modify the begging strategies of nestlings , 2002 .

[7]  Timothy C. Green,et al.  Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices , 2008, Proceedings of the IEEE.

[8]  David L. Hu,et al.  Tree-inspired piezoelectric energy harvesting , 2009 .

[9]  R. Trivers.  Parental investment and sexual selection , 1972 .

[10]  Junichi Suzuki,et al.  BiSNET: A biologically-inspired middleware architecture for self-managing wireless sensor networks , 2007, Comput. Networks.

[11]  H. Godfray,et al.  Signalling of need by offspring to their parents , 1991, Nature.

[12]  Michael D. Frederickson,et al.  Energy Harvesting for Wireless Sensor Networks , 2018 .

[13]  Jing Liu,et al.  Human power-based energy harvesting strategies for mobile electronic devices , 2009 .

[14]  N. Davies,et al.  Nestling mouth colour: ecological correlates of a begging signal , 1998, Animal Behaviour.

[15]  M. Cody.  Finch flocks in the Mohave desert. , 1971, Theoretical population biology.

[16]  R. Johnstone,et al.  Begging the question: are offspring solicitation behaviours signals of need? , 1997, Trends in ecology & evolution.

[17]  Magnus Enquist,et al.  Neural networks and animal behavior , 2005 .

[18]  S. Roundy.  Energy Scavenging for Wireless Sensor Nodes with a Focus on Vibration-to-Electricity Conversion , 2003 .

[19]  N. Davies,et al.  Signals of need in parent–offspring communication and their exploitation by the common cuckoo , 1999, Nature.

[20]  G. Pyke,et al.  Are animals efficient harvesters? , 1978, Animal Behaviour.

[21]  Simon Verhulst,et al.  A fixed energetic ceiling to parental effort in the great tit , 2000 .

[22]  M. Soljačić,et al.  Efficient wireless non-radiative mid-range energy transfer , 2006, physics/0611063.

[23]  Cesare Alippi,et al.  An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[24]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.