A Genetic Algorithm Based Mechanism for Scheduling Mobile Sensors in Hybrid WSNs Applications

In hybrid wireless sensor networks (WSNs) sensors can be divided into two categories as static or mobile sensors, where mobile sensors can move to collect the information from static sensors. A challenge in hybrid WSNs is to make the best use of sensor's energy and thus to prolong the network lifetime. To address this challenge, we aim to schedule mobile sensors by applying techniques derived from genetic algorithm in order to balancing the energy consumption of mobile sensors. The network, where static sensors are deployed, are divided into relatively small regions. Thereafter, we adopt our technique to allocate these regions to each mobile sensor, while ensuring the fact that energy consumption of each mobile sensor is relatively close to each other. Experimental evaluation shows that our technique can effectively balance the load of each mobile sensor, and thus, prolong the networks lifetime.