GENDEP: Location-Aware Key Management for General Deployment of Wireless Sensor Networks

Abstract

Limited capabilities of tiny sensor node make it difficult to build a secure wireless sensor network. To cope with this problem, location-aware key predistribution schemes have been studied but without considering irregularity of real sensing fields. They were designed for ideal sensing fields divided into uniform regular polygons but false is the real sensing field, where we face irregular obstacles, undulations, and boundaries. In this paper, we tackle this problem from practical sense and first introduce the general deployment model, comparable to the previous uniform deployment model. To construct a secure WSN in the general deployment model, we present a new framework called GenDep, which consists of two phases: group placement and key management. In the group placement phase, we find an optimal position for sensor groups so that both connectivity and global coverage are satisfied for secure communications. In the key management phase, we devise a new structure called extended groups to partition the whole deployment area into irregular subareas. GenDep can build secure and flexible WSNs by using the existing key predistribution schemes even designed in the uniform deployment model. To ensure practicality of GenDep, we also conduct rigorous analysis and simulation in this paper.

An improved key pre-distribution scheme based on the security level classification of keys for wireless sensor networks

“…In the key pre-distribution phase, the original key pool is divides into many smaller pools, each of which is associated to different group. This group-based deployment model was further developed in Bag and Roy (2013) and Lee and Kwon (2014). Although these schemes can gain substantial improvement over exiting schemes that do not exploit deployment, they are only suitable to scenarios where deployment knowledge can be explored and this kind of information is not available in a generic deployment scenario.…”

Optimization of key predistribution protocol based on supernetworks theory in heterogeneous WSN

“…Hence, we introduce the concept of network connectivity by taking the environment factors into account. In fact, some key management protocols [19][20][21] based on location need to consider the network density at the beginning of design. Therefore whether two nodes can establish a secure link will depend on two conditions:…”

Based on the Forwarding Free Riding's Design and Analysis of the Location Management Method in Wireless Sensor Networks

“…In order to optimize the performance of the Forwarding Free-rider-based location management scheme, a mathematical analysis model based on the Markov Chain is developed by adopting the Stochastic Petri Net to estimate the communication cost. The estimated results of their efficiency can get to know the advantages of the location management scheme of the multi-points routing and the features of the Gossip-based broadcast and its simulated results show that the Forwarding Free-rider-based location management scheme is superior to other location management schemes [15].…”