Knowledge Deployment & Distributions

In this paper, we address key management in cluster-based mobile ad hoc networks (MANETs). We present a fully-distributed IDbased multiple secrets key management scheme (IMKM). This scheme is implemented via a combination of ID-based multiple secrets and threshold cryptography. Ensuring secure communication in an ad hoc network is extremely challenging because of the dynamic nature of the network and the lack of centralized management. Our proposed analysis includes the effect of packet generation model, random deployment of sensors, dynamic cluster head assignment, data compression, and energy consumption model at the sensors. a new protocol called Equalized Cluster Head Election Routing Protocol (ECHERP), which pursues energy conservation through balanced clustering, is proposed. Performance evaluation of ECHERP is carried out through simulation tests. We also present a novel key predistribution scheme that uses deployment knowledge to divide deployment regions into overlapping clusters, each of which has its own distinct key space. Through careful construction of these clusters, network resilience is improved, we focus on the management of encryption keys in large-scale clustered WSNs. We propose a novel distributed key management scheme based on Exclusion Basis Systems (EBS); a combinatorial formulation of the group key management problem. Initially, clusters are formed in the network and the cluster heads are selected based on the energy cost, coverage and processing capacity. The sink assigns cluster key to every cluster and an EBS key set to every cluster head. The EBS key set contains the pairwise keys for intra-cluster and inter-cluster communication. During data transmission towards the sink, the data is made to pass through two phases of encryption thus ensuring security in the network. Our results include performance evaluation in terms of security metrics in clustered WSN and a detailed analysis of resource utilization.

With recent advances in electronics and wireless communication technologies, the Wireless Sensor
Networks (WSNs) are being used in wide range of applications of military, ecological, health related areas.
Due to their resource constraints such as, sensor node’s size, memory, and processing capabilities, the
scale of deployment of WSNs requires careful decisions with respect to various performance measures. In
the last few years, there has been a tremendous interest on development of large-scale wireless sensor
networks as a basic issue to be addressed as it can influence the performance metrics of WSNs such as,
coverage, connectivity, resilience and scalability requirements. Many deployment schemes have been
proposed for wireless sensor networks. In this paper, we survey six deployment models random,
rectangular-grid, square-grid, triangular-grid, hexagonal-grid, and hybrid deployments schemes and
analyze their implications on network area coverage in WSNs. More generally, under some deployment
assumptions on an irregular geographical map for a defense monitoring, we show the analytical and
simulation-based results of a WSN made up of mica2 motes using the deployment knowledge to motivate
the use of these emerging paradigms in order to achieve higher network area coverage. To apply
deployment schemes on irregular geographical target area, we propose to include the concept of voronoi
diagram based approach in WSNs, to provide a way of dividing an irregular geographical area into a
number of regular regions. We have been configured the sensor node parameters such as sensing,
temperature, energy capabilities using mannasim based on NS-2.34.