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I am writing a python platform for the simulation of distributed sensor swarms. The idea being that the end user can write a custom Node consisting of the SensorNode behaviour (communication, logging, etc) as well as implementing a number of different sensors. The example below briefly demonstrates the concept. #prewritten class Sensor(object): def __init__(self): print "Hello from Sensor" #... #prewritten class PositionSensor(Sensor): def __init__(self): print "Hello from Position" Sensor.__init__(self) #... #prewritten class BearingSensor(Sensor): def __init__(self): print "Hello from Bearing" Sensor.__init__(self) #... #prewritten class SensorNode(object): def __init__(self): print "Hello from SensorNode" #... #USER WRITTEN class MySensorNode(SensorNode,BearingSensor,PositionSensor): def CustomMethod(self): LogData={'Position':position(), 'Bearing':bearing()} #position() from PositionSensor, bearing() from BearingSensor Log(LogData) #Log() from SensorNode NEW EDIT: Firstly an overview of what I am trying to achieve: I am writing a simulator to simulate swarm intelligence algorithms with particular focus on mobile sensor networks. These networks consist of many small robots communicating individual sensor data to build a complex sensory map of the environment. The underlying goal of this project is to develop a simulation platform that provides abstracted interfaces to sensors such that the same user-implemented functionality can be directly ported to a robotic swarm running embedded linux. As robotic implementation is the goal, I need to design such that the software node behaves the same, and only has access to information that an physical node would have. As part of the simulation engine, I will be providing a set of classes modelling different types of sensors and different types of sensor node. I wish to abstract all this complexity awa

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