GAME-theory-based cross-layer optimization for wireless DS-CDMA visual sensor networks

Abstract

We propose a game-theory-based cross-layer optimization scheme for wireless Direct Sequence Code Division Multiple Access (DS-CDMA) visual sensor networks. The scheme uses the Nash Bargaining Solution (NBS), which assumes that the nodes negotiate, with the help of a centralized control unit, on how to allocate resources. The NBS takes into account the video quality each node could achieve without making an agreement. The cross-layer optimization scheme determines the source coding rate, channel coding rate, and transmission power for each node. We compare the proposed game-theorybased scheme with competing schemes that minimize the average or maximum distortion among the nodes. Experimental results are presented and conclusions are drawn.

Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution

“…Specifically, S h , S l ∈ S = [smin, smax] ⊂ R, unlike [5] where power levels could only take discrete values. The source coding rates can take discrete values from a set Rs, that is, R s,h , R s,l ∈ Rs and the channel coding rates can also take discrete values from a set Rc, that is,…”

“…Since the source coding-channel coding rate combination can only take discrete values, the resulting optimization problem is a mixedinteger problem and is solved using Particle Swarm Optimization [6]. Also, in the present paper, the utility function and the disagreement point are defined differently than in [5].…”

“…However, in [4], no specific network setup is assumed. In [5], we used the NBS for the cross-layer optimization of a DS-CDMA VSN. However, in that work, the transmission powers of the nodes were restricted to take values from a discrete set.…”

Resource allocation in visual sensor networks using a reinforcement learning framework

“…In our previous works [2], [3], we assumed a wireless VSN, where an application-driven cross-layer optimization 978-1-4673-5807-1/13/$31.00 ©2013 IEEE scheme was proposed for the dynamic adjustment of the sensor nodes' transmission parameters across all network layers. Such a scheme provides the opportunity for increased network resource usage and user profit maximization, at the same time.…”

Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks

“…In order to calculate the expected distortion as a function of the bit error probabilities after channel decoding, we use the Universal Rate-Distortion Characteristics (URDCs) [10]. It should be noted that the errors occurring in the channel are random, thus the video distortion D s+c,k of a user k is a random variable.…”