Load-weighted dynamic and evolution model for Wireless Sensor Networks

Topologies with strong invulnerability and high reliability has become an important issue in the development of Wireless Sensor Networks (WSNs). In this paper, WSNs is modeled as a weighted network which the load of nodes is considered as the weight of nodes. Thus, the problem of balancing the load turns into the problem of balancing the weight of the network. A load-aware and energy-aware local world (LAEAL) model which considers the node fitness, node energy and node weight for WSNs topology evolution is proposed. Both analysis and simulations indicate that LAEAL model enhances connectivity and network lifetime, achieves high robustness against malicious attacks, and at the same time maintains the invulnerability of random attacks.