We propose a geographic forwarding protocol for wireless sensor networks (WSNs). Our proposed protocol, named Landmark-based Location-Aware Routing (LLAR), intelligently combines greedy forwarding and a hole detouring technique utilizing landmark information. Compared to existing approaches, our proposal utilizes the feedback message from the sink node for discovery of the optimal path. Simulations show that our proposed scheme can eliminate a significant number of overhead messages compared to its counterparts, thereby further achieving higher energy efficiency.

In this paper we propose a novel RFID anti-collision technique that intelligently combines polling and random access schemes. These two fundamentally different medium access control protocols are coherently integrated in our design while functionally complementing each other. The polling mode is designed to enable fast collision-free identification for the tags that exist within reader's coverage across the sessions. In contrast, the random access mode attempts to read the tags uncovered by the polling mode. Our proposed technique is particularly suited for a class of RFID applications in which a stationary reader periodically attempts to identify the tags with slow mobility. Numerical results show that our proposed technique yields much faster identification time against the existing approaches under various operating conditions.

In this paper, we propose a method of resizing images in the integer DCT domain employed by H.264/AVC. To accomplish this, we first derive the matrix scaling the image resolution, and then factorize the scaled DCT blocks and the post scaling factors (PF) from the matrix obtained from the multiplication of the scaling matrix and the original integer DCT blocks. Then, we separate the scaled DCT blocks into the integer scaling matrix and the scaled integer DCT blocks. The experiments show that the proposed method produces nearly the same performance as those operating in the real DCT domain.

We analyze the performance of an opportunistic transmission strategy for Wireless Sensor Networks (WSNs). We consider a transmission strategy called Binary Decision-Based Transmission (BDT), which is a common form of opportunistic transmission. The BDT scheme initiates transmission only when the channel quality exceeds the optimum threshold to avoid unsuccessful transmissions that waste energy. We formulate the Markov Decision Process (MDP) to identify an optimum threshold for transmission decisions in the BDT scheme.