4 research outputs found
Simulation based Evaluation of Attribute Aware Scheduling in Heterogeneous Wireless Sensor Networks
In many applications of sensor networks, it is required to sense multiple physical parameters of the same region. So multiple different types of sensors are deployed. Such networks are known as heterogeneous networks. In tree based heterogeneous networks, complete aggregation is not possible at every node. The reason is that parent and child node may be of different types. The term Attribute is used to refer to type of packet. When objective is to maximize aggregation, parent selection should be done such that packet sent by given node should be aggregated as soon as possible in its path towards the sink. This approach would result in reduction in schedule length of the tree. Such an algorithm is known as Attribute Aware Scheduling Algorithm. In this work, one such algorithm is evaluated through simulations. It is found that Attribute Aware Scheduling results in better aggregation, smaller schedule length, and reduction in energy consumption. The reduction in schedule length means smaller latency and reduction in energy consumption means extended network lifetime
Maximizing Network Lifetime using Fuzzy Based Secure Data Aggregation Protocol (FSDAP) in a Wireless Sensor Networks
Secure Data Aggregation in Wireless
Senor Networks (WSNs) is a challenging issue. The various
protocols has been suggested in the recent past such as
EDIT[13], ADA[8], TSDA[9], SEDAN[10]. These protocols
effectively meet the constraints of WSNs. In this paper, we have
proposed a Fuzzy Based Secure Data Aggregation protocol
(FSDAP) which is an efficient localized protocol. The FSDAP
protocol is designed with three phases. The first phase selects
Aggregator Node using ANS algorithm. An ANS algorithm
involves two steps to elect an Aggregator Node in the clustered
network. In first step, the cluster head is selected based on the
Euclidean distance and in second step, the cluster head is
selected based on the fuzzy product and fuzzy value (α). Then, in
second phase, a selected AN eliminates data redundancy sensed
by all sensor nodes within the cluster. Finally, in third phase, the
FSDAP protocol effectively detects malicious node and provides
secure data transmission path. Thus, the proposed protocol,
FSDAP utilizes the node’s resource parameter uniformly, which
in turn improves Network Lifetime, maximizes Throughput Rate,
maximizes Packet Delivery Ratio and minimizes End-to-End
Delay. The FSDAP is simulated using the NS2 simulator and
compared with centroid algorithms Fuzzy C-Means and K-Means
algorithm and a secure aggregation protocol implemented using
SAR (Secure Aware Ad hoc Routing). The time complexity of
FSDAP protocol is O(m2n)